GROUP
  • Diksha Gautham '15
  • Olivia Holmes '15
  • Jai Lakhanpal '16
  • Chris Leech '16
  • Coralie Phanord '16
  • Josh Wang '15
  • Alumni

NEW
  1. E. Kee, J. O’Brien, and H. Farid. Exposing Photo Manipulation from Shading and Shadows. ACM Transactions on Graphics, (in press). [paper]
  2. V. Conotter, E. Bodnari, G. Boato, and H. Farid. Physiologically-based Detection of Computer Generated Faces in Video. International Conference on Image Processing, Paris, France, 2014. [paper]
TUTORIALS
  1. Digital Image Forensics: lecture notes, exercises, and matlab code for a survey course in digital image and video forensics. [tutorial]
  2. Fundamentals of Image Processing: learn about the fundamentals of signal and image processing within a unifying mathematical framework. [tutorial]
  3. How to Give a Good Talk. [tutorial]
  4. How to Write a Good Grant. [tutorial]
  5. How to Write a Good Review. [tutorial]
TALKS
  1. Photo Forensics, Jones Seminar, Dartmouth, 2013. [watch]
  2. What's a Picture Worth, TEDx, 2011. [watch]
  3. Digital Foreniscs, NIST, 2008. [watch]
CODE
  1. CGI or Photo? [download]
  2. Clutter: quantify the amount of clutter in an image. [download]
  3. Derivative Filters. [download]
  4. Fractional Differentiation. [download]
  5. Fractional Fourier Transform. [download]
  6. Gamma Correction: blind removal of gamma correction. [download]
  7. ICA: separating reflections. [download]
  8. Phototop: surface topography from unconstrained photos. [download]
  9. Q: an interface to Matlab for manipulating and analyzing digital images. [download]
  10. Qr: image registration. [download]
  11. Q5: probabilistic disease classification mass spectrometry. [download]
  12. SPHARM: 3-D spherical harmonic analyses on triangular mesh surfaces. [download]
  13. Steerable wedge filters. [download]
  14. Steganalysis. [download]
  15. Wild-ID: pattern extraction and matching for use in photographic mark-recapture studies. [download]
PRESS
      Digital Forensics
  1. New York Times 8.19.13 [read]
  2. NPR's Here & Now, 4.18.13 [listen]
  3. Business Week, 12.29.10 [read]
  4. Good Morning America, 10.5.10 [watch]
  5. MSNBC 9.21.10 [read]
  6. NPR's All Things Considered, 7.1.10 [listen]
  7. NPR's All Things Considered, 8.28.09 [listen]
  8. New York Times, 8.23.09 [read]
  9. BBC News, 8.2.09 [read]
  10. Scientific American, 2.20.09 [read]
  11. Studio 360, 12.26.08 [listen]
  12. ABC News, 12.19.08 [read]
  13. Chicago Public Radio's Worldview, 12.7.08 [listen]
  14. Scientific American, 11.10.08 [read]
  15. NPR's Talk of the Nation, 7.23.08 [listen]
  16. Vermont Public Radio, 7.2.08 [listen]
  17. NOVA scienceNOW, 6.25.08 [listen]
  18. PRI's The World, 6.3.08 [listen]
  19. NHPR's Word of Mouth, 5.15.08 [listen]
  20. NOVA, scienceNOW, 6.25.08 [watch]
  21. The Today Show, 12.21.07 [watch]
  22. MSNBC, 10.29.07 [read]
  23. BBC Night Waves, 10.17.07 [listen]
  24. New York Times, 10.2.07 [read]
  25. Christian Science Monitor, 8.29.07 [read]
  26. American Journalism Review, 7.30.07 [read]
  27. The Today Show, 7.23.07 [watch]
  28. Washington Post, 4.15.07 [read]
  29. Science News, 3.24.07 [read]
  30. Wired News, 3.8.07 [read]
  31. Nature News, 2.19.07 [read]
  32. CBS Sunday Morning, 10.29.06 [watch]
  33. BBC Digital Planet , 9.4.06 [listen]
  34. The Economist, 8.17.06 [read]
  35. CNN, 2.2.06 [listen]
  36. Popular Science, 9.1.05 [read]
  37. The Discovery Channel, 3.16.05 [watch]
  38. The Christian Science Monitor, 2.2.05 [read]
  39. New York Times (Year in Ideas), 12.12.04 [read]
  40. NPR's Future Tense, 7.27.04 [listen]
  41. New York Times, 7.22.04 [read]
  42. Salon.com, 4.22.04 [read]

      Lee Harvey Oswald Photo
  1. Vermont Public Radio, 11.24.09 [listen]
  2. NH Chronicle, 11.23.09 [watch]
  3. Fox News, 11.6.09 [watch]
  4. Huffington Post, 11.5.09 [read]
  5. Dartmouth press release, 11.5.09 [read/watch]

      PhotoDNA
  1. 97.3 KIRO, Seattle (radio), 5.20.11 [listen]
  2. New York Times, 5.19.11 [read]
  3. Christian Science Monitor, 6.10.10 [read]
  4. NHPR's Word of Mouth (radio), 12.21.09 [listen]
  5. Microsoft press release (with video), 12.15.09 [read/watch]

      Photo Retouching
  1. NPR, Colin McEnroe Show, 1.16.13 [listen]
  2. BBC World Service, 12.20.11 [listen]
  3. NPR’s Two-Way, 11.30.11 [read]
  4. PCWorld, 11.29.11 [read]
  5. The Independent, 11.29.11 [read]
  6. The Guardian, 11.29.11 [read]
  7. Scientific American, 11.29.11 [read]
  8. The Economist, 11.28.11 [read]
  9. New York Times, 11.28.11 [read]

      Digital Art Authentication
  1. New York Times, 12.23.04 [read]
  2. Washington Post, 11.29.04 [read]
  3. Economist, 11.25.04 [read]
  4. National Geographic, 11.23.04 [read]
  5. Wired News, 11.22.04 [read]
  6. BBC Radio 4 (radio), 11.23.04 [listen]
  7. AAAS Science Update (radio), 11.23.04 [listen]

      Fraud in Science
  1. The Scientist, 2.10.06 [read]
  2. Nature News, 2.2.06 [read]
  3. New York Times, 1.24.06 [read]

      Hidden Messages
  1. WCAX TV News, 10.19.01 [watch]
  2. Technology Research News, 9.26.01 [read]
  3. WNNE TV News, 8.15.01 [watch]

      Personal Profile
  1. San Jose Mercury News, 12.15.08 [read]
  2. NOVA, scienceNOW, 6.25.08 [watch]
  3. New Hampshire Magazine, 2.1.05 [read]
  4. NHPR Front Porch, 12.14.04 [listen]
ALUMNI
Tiago Carvalho (Ph.D., 2014), Valentina Conotter (Ph.D., 2011) [dissertation], Daniel Hopkins '10, Kimo Johnson (Ph.D., 2007) [dissertation], Eric Kee (Ph.D., 2013) [dissertation], Siwei Lyu (Ph.D., 2005) [dissertation], Hafiz Malik (Visiting Professor, 2009), David Martin '00, Joseph Pechter '04, William Pechter '04, Senthil Periaswamy (Ph.D., 2003) [dissertation], Andrew Pierce '02, Alin Popescu (Ph.D., 2005) [dissertation], Jethro Rothe-Kushel '03, Katherine Sherwin '01, Hai Sun (M.D./Ph.D., 2004) [dissertation], Weihong Wang (Ph.D., 2009) [dissertation], and Jeff Woodward (Programmer)
BIO [CV]
I received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989. I received my Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two year post-doctoral position in Brain and Cognitive Sciences at MIT, I joined the faculty at Dartmouth in 1999 where I am currently a Professor of Computer Science. I am also the Chief Technology Officer and co-founder of Fourandsix Technologies, Inc. I am the recipient of an NSF CAREER award, a Sloan Fellowship and a Guggenheim Fellowship.
FUNDING
National Science Foundation (CNS-1205521), 2012; National Science Foundation (DBI-0754773), 2008; National Science Foundation (CNS-0708209), 2007; Department of Homeland Security (2006-CS-001-000001), 2007; John Simon Guggenheim Fellowship, 2006; US Air Force (FA8750-06-C-0011), 2006; National Science Foundation (DEB-0516104), 2005; Bureau of Justice Assistance (2005-DD-BX-1091), 2005; Department of Homeland Security (2000-DT-CX-K001), 2005; Microsoft Corp. 2005, 2006, 2007, 2009; Adobe Systems, Inc., 2004, 2006, 2008; Sony Music Fellowship, 2004; Alfred P. Sloan Fellowship, 2002; National Institute of Justice (2000-DT-CX-K001), 2000; National Science Foundation CAREER (IIS-99-83806), 1999; National Science Foundation (EIA-98-02068), 1998.
 
DIGITAL FORENSICS
We are developing mathematical and computational techniques to detect various forms of tampering in photos, videos, audios, and documents. We also study the ability of our visual system to perceptually detect photo manipulation.

  Forensics: photo
  1. E. Kee, J. O’Brien, and H. Farid. Exposing Photo Manipulation from Shading and Shadows. ACM Transactions on Graphics, 2014 (in press). [paper]
  2. E. Kee, J. O’Brien, and H. Farid. Exposing Photo Manipulation with Inconsistent Shadows. ACM Transactions on Graphics, 32(4):28:1-12, 2013. [paper] [talk] [supplemental: 1 | 2 | 3]
  3. M. Kirchner, P. Winkler and H. Farid. Impeding Forgers at Photo Inception. SPIE Symposium on Electronic Imaging, San Jose, CA, 2013. [paper]
  4. J. O’Brien and H. Farid. Exposing Photo Manipulation with Inconsistent Reflections. ACM Transactions on Graphics, 31(1):4:1-4:11, 2012. [paper]
  5. E. Kee, M. K. Johnson, and H. Farid. Digital Image Authentication from JPEG Headers. IEEE Transactions on Information Forensics and Security, 7(3):1066-1075, 2011. [paper]
  6. E. Kee and H. Farid. Exposing Digital Forgeries from 3-D Lighting Environments. IEEE Workshop on Information Forensics and Security, Seattle, WA, 2010. [paper]
  7. V. Conotter, G. Boato and H. Farid. Detecting Photo Manipulation on Signs and Billboards. International Conference on Image Processing, Hong Kong, 2010. [paper]
  8. E. Kee and H. Farid. Digital Image Authentication from Thumbnails. SPIE Symposium on Electronic Imaging, San Jose, CA, 2010. [paper]
  9. H. Farid. A 3-D Lighting and Shadow Analysis of the JFK Zapruder Film (Frame 317). TR2010-677, Department of Computer Science, Dartmouth College, November 2010. [paper]
  10. H. Farid. A 3-D Photo Forensic Analysis of the Lee Harvey Oswald Backyard Photo. TR2010-669, Department of Computer Science, Dartmouth College, May 2010. [paper]
  11. H. Farid. The Lee Harvey Oswald Backyard Photos: Real or Fake? Perception, 38(11):1731-1734, 2009. [paper]
  12. H. Farid. A Survey of Image Forgery Detection. IEEE Signal Processing Magazine, 26(2):16-25, 2009. [paper]
  13. H. Farid. Exposing Digital Forgeries from JPEG Ghosts. IEEE Transactions on Information Forensics and Security, 4(1):154-160, 2009. [paper]
  14. H. Farid. Seeing Is Not Believing. IEEE Spectrum, 46(8):44-48, 2009. [paper]
  15. H. Farid. Photo Fakery and Forensics. In Advances in Computers, Volume 77, Academic Press, 2009 [chapter]
  16. H. Farid. Digital Doctoring: can we trust photographs? In Deception: From Ancient Empires to Internet Dating, Stanford University Press, 2009. [chapter]
  17. E. Kee and H. Farid. Detecting Photographic Composites of Famous People. TR2009-656, Department of Computer Science, Dartmouth College, October 2009. [paper]
  18. H. Farid. Digital Image Forensics. Scientific American, 298(6):66-71, 2008. [paper]
  19. H. Farid. Digital Image Ballistics from JPEG Quantization: A Followup Study. TR2008-638, Department of Computer Science, Dartmouth College, September 2008. [paper]
  20. M.K. Johnson and H. Farid. Exposing Digital Forgeries in Complex Lighting Environments. IEEE Transactions on Information Forensics and Security, 2(3):450-461, 2007. [paper]
  21. M.K. Johnson and H. Farid. Detecting Photographic Composites of People. 6th International Workshop on Digital Watermarking, Guangzhou, China, 2007. [paper]
  22. M.K. Johnson and H. Farid. Exposing Digital Forgeries Through Specular Highlights on the Eye. 9th International Workshop on Information Hiding, Saint Malo, France, 2007. [paper]
  23. H. Farid. Digital Image Ballistics from JPEG Quantization. TR2006-583, Department of Computer Science, Dartmouth College, September 2006. [paper]
  24. H. Farid. Digital Doctoring: How to tell the real from the fake. Significance, 3(4):162-166, 2006. [paper]
  25. H. Farid. Exposing Digital Forgeries in Scientific Images. ACM Multimedia and Security Workshop, Geneva, Switzerland, 2006. [paper]
  26. M.K. Johnson and H. Farid. Exposing Digital Forgeries Through Chromatic Aberration. ACM Multimedia and Security Workshop, Geneva, Switzerland, 2006. [paper]
  27. K. Johnson and H. Farid. Metric Measurements on a Plane from a Single Image. TR2006-579, Department of Computer Science, Dartmouth College, August 2006. [paper]
  28. A.C. Popescu and H. Farid. Exposing Digital Forgeries in Color Filter Array Interpolated Images. IEEE Transactions on Signal Processing, 53(10):3948-3959, 2005. [paper]
  29. A.C. Popescu and H. Farid. Exposing Digital Forgeries by Detecting Traces of Re-sampling. IEEE Transactions on Signal Processing, 53(2):758-767, 2005. [paper]
  30. M.K. Johnson and H. Farid. Exposing Digital Forgeries by Detecting Inconsistencies in Lighting. ACM Multimedia and Security Workshop, New York, NY, 2005. [paper]
  31. A.C. Popescu and H. Farid. Statistical Tools for Digital Forensics. 6th International Workshop on Information Hiding, Toronto, CA, 2004. [paper]
  32. A.C. Popescu and H. Farid. Exposing Digital Forgeries by Detecting Duplicated Image Regions. TR2004-515, Department of Computer Science, Dartmouth College, September 2004. [paper]
  33. H. Farid. Detecting Digital Forgeries Using Bispectral Analysis. MIT AI Memo 1657, June 1999. [paper]

  Forensics: video
  1. V. Conotter, J. O’Brien, and H. Farid. Exposing Digital Forgeries in Ballistic Motion. IEEE Transactions on Information Forensics and Security, 7(1):283-296, 2012. [paper]
  2. W. Wang and H. Farid. Exposing Digital Forgeries in Video by Detecting Double Quantization. ACM Multimedia and Security Workshop, Princeton, NJ, 2009. [paper]
  3. W. Wang and H. Farid. Detecting Re-Projected Video. 10th International Workshop on Information Hiding, Santa Barbara, CA, 2008. [paper]
  4. W. Wang and H. Farid. Exposing Digital Forgeries in Interlaced and De-Interlaced Video. IEEE Transactions on Information Forensics and Security, 2(3):438-449, 2007. [paper]
  5. W. Wang and H. Farid. Exposing Digital Forgeries in Video by Detecting Duplication. ACM Multimedia and Security Workshop, Dallas, TX, 2007. [paper]
  6. H. Farid and J.B. Woodward. Video Stabilization and Enhancement. TR2007-605, Department of Computer Science, Dartmouth College, September 2007. [paper]
  7. W. Wang and H. Farid. Exposing Digital Forgeries in Video by Detecting Double MPEG Compression. ACM Multimedia and Security Workshop, Geneva, Switzerland, 2006. [paper]

  Forensics: audio
  1. H. Malik and H. Farid. Audio Forensics from Acoustic Reverberation. International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, 2010. [paper]

      Forensics: printer
  1. E. Kee and H. Farid. Printer Profiling for Forensics and Ballistics. ACM Multimedia and Security Workshop, Oxford, UK, 2008. [paper]

      Forensics: perceptual
  1. H. Farid and M.J. Bravo. Photo Forensics: How Reliable is the Visual System? Vision Sciences, Naples, FL, 2010. [abstract] [poster]
  2. H. Farid and M.J. Bravo. Image Forensic Analyses that Elude the Human Visual System. SPIE Symposium on Electronic Imaging, San Jose, CA, 2010. [paper]

      Forensics: CGI or photo?
  1. V. Conotter, E. Bodnari, G. Boato, and H. Farid. Physiologically-based Detection of Computer Generated Faces in Video. International Conference on Image Processing, Paris, France, 2014. [paper]
  2. H. Farid and M.J. Bravo. Perceptual Discrimination of Computer Generated and Photographic Faces. Digital Investigation, 8:226-235, 2012. [paper]
  3. H. Farid and M.J. Bravo. Photorealistic Rendering: How Realistic Is It? Vision Sciences, Sarasota, FL, 2007. [abstract] [sample images]
  4. S. Lyu and H. Farid. How Realistic is Photorealistic? IEEE Transactions on Signal Processing, 53(2):845-850, 2005. [paper] [code]
  5. H. Farid. Creating and Detecting Doctored and Virtual Images: Implications to The Child Pornography Prevention Act. TR2004-518, Department of Computer Science, Dartmouth College, October 2004. [paper]
  6. H. Farid and S. Lyu. Higher-order Wavelet Statistics and their Application to Digital Forensics. IEEE Workshop on Statistical Analysis in Computer Vision (in conjunction with CVPR), Madison, Wisconsin, 2003. [paper]

      Forensics: photo retouching
  1. E. Kee and H. Farid. A Perceptual Metric for Photo Retouching. Proceedings of the National Academy of Sciences, 108(50):19907-19912, 2011. [paper]

      Forensics: art
  1. D. Rockmore, S. Lyu and H. Farid. A Digital Technique for Authentication in the Visual Arts. International Foundation for Art Research, (8)2:12-23, 2006. [NA]
  2. S. Lyu, D. Rockmore, and H. Farid. Wavelet Analysis for Authentication. Art + Math = X, Boulder, CO, 2005. [NA]
  3. S. Lyu, D. Rockmore and H. Farid. A Digital Technique for Art Authentication. Proceedings of the National Academy of Sciences, 101(49):17006-17010, 2004. [paper]

      Forensics: steganalysis
  1. S. Lyu and H. Farid. Steganalysis Using Higher-Order Image Statistics. IEEE Transactions on Information Forensics and Security, (1)1:111-119, 2006. [paper] [IEEE SPS Best Paper Award, 2010]
  2. M.K. Johnson, S. Lyu and H. Farid. Steganalysis in Recorded Speech. SPIE Symposium on Electronic Imaging, San Jose, CA, 2005. [paper]
  3. S. Lyu and H. Farid. Steganalysis Using Color Wavelet Statistics and One-Class Support Vector Machines. SPIE Symposium on Electronic Imaging, San Jose, CA, 2004. [paper]
  4. S. Lyu and H. Farid. Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines. 5th International Workshop on Information Hiding, Noordwijkerhout, The Netherlands, 2002. [paper]
  5. H. Farid. Detecting Hidden Messages Using Higher-Order Statistical Models. International Conference on Image Processing, Rochester, NY, 2002. [paper] [code]
  6. H. Farid. Detecting Steganographic Messages in Digital Images. TR2001-412, Department of Computer Science, Dartmouth College, September 2001. [paper]

      Forensics: resources
  1. Authenicate Your Photos [link]
  2. Blog [ link]
  3. Digital Image Forensics: lecture notes, exercises, and matlab code for a survey course in digital image and video forensics. [link]
  4. Digital Forensic Database: a bibliography of technical papers, source code, and data in the field of digital image, audio, and video forensics. [link]
  5. Photo Tampering Throughout History: an overview of some of the more notable instances of photo manipulation in history. [link]


 
IMAGE ANALYSIS
We have developed techniques for discrete multi-dimensional differentiation [2, 3, 7], blind removal of luminance and geometric distortions [4, 5, 6] and the design of steerable filters [8, 9].

  1. H. Farid and J. Kosecka. Estimating Planar Surface Orientation Using Bispectral Analysis. IEEE Transactions on Image Processing, 16(8):2154-2160, 2007. [paper]
  2. H. Farid and E.P. Simoncelli. Differentiation of Discrete Multi-Dimensional Signals. IEEE Transactions on Image Processing, 13(4):496-508, 2004. [paper] [code]
  3. H. Farid. Discrete-Time Fractional Differentiation from Integer Derivatives. TR2004-528, Department of Computer Science, Dartmouth College, December 2004. [paper] [code]
  4. H. Farid. Blind Inverse Gamma Correction. IEEE Transactions on Image Processing, 10(10):1428- 1433, 2001. [paper] [code]
  5. H. Farid and A.C. Popescu. Blind Removal of Lens Distortions. Journal of the Optical Society of America, 18(9):2072-2078, 2001. [paper]
  6. H. Farid and A.C. Popescu. Blind Removal of Image Non-Linearities. International Conference on Computer Vision (ICCV), Vancouver, Canada, 2001. [paper]
  7. H. Farid and E.P. Simoncelli. Optimally Rotation-Equivariant Directional Derivative Kernels. Computer Analysis of Images and Patterns (CAIP), Kiel, Germany, 1997. [paper]
  8. E.P. Simoncelli and H. Farid. Steerable Wedge Filters for Local Orientation Analysis. IEEE Transactions on Image Processing, 5(9):1377-1382, 1996. [paper]
  9. E.P. Simoncelli and H. Farid. Steerable Wedge Filters. International Conference on Computer Vision (ICCV), Boston, MA, 1995. [paper]


 
HUMAN PERCEPTION
We study various aspects of the human visual system, including mechanisms governing search and recognition in cluttered scenes [1-19, 22, 26, 29] and a critique of the theory of temporal synchrony for perceptual grouping [20, 21, 23, 28, 30].

  1. M.J. Bravo and H. Farid. Search Templates Can be Adapted to the Context, but Only for Unfamiliar Targets. Vision Sciences, St. Pete Beach, FL, 2014. [abstract] [poster]
  2. M.J. Bravo and H. Farid. Informative Cues Can Slow Search: The cost of matching a specific template. Attention, Perception, & Psychophysics, 76(1):32-39, 2014. [paper]
  3. M.J. Bravo and H. Farid. Task Demands Determine the Specificity of the Search Template. Attention, Perception, & Psychophysics, 74(1):124-131, 2012. [paper]
  4. M.J. Bravo and H. Farid. Symbolic Distractor Cues Facilitate Search. Vision Sciences, Naples, FL, 2012. [abstract] [poster]
  5. M.J. Bravo and H. Farid. Distinctive Features are Prominent in Object Representations. Vision Sciences, Naples, FL, 2011. [abstract] [poster]
  6. M.J. Bravo and H. Farid. The Specificity of the Search Template. Journal of Vision, 9(1):34, 1-9, 2009. [paper]
  7. M.J. Bravo and H. Farid. Training Determines the Target Representation for Search. Vision Sciences, Naples, FL, 2009. [abstract]
  8. M.J. Bravo and H. Farid. A Scale Invariant Measure of Image Clutter. Journal of Vision, 8(1):1-9, 2008. [paper] [code]
  9. M.J. Bravo and H. Farid. The Depth of Distractor Processing in Search with Clutter. Perception, 36(6):821-829, 2007. [paper]
  10. M.J. Bravo and H. Farid. A Measure of Relative Set Size for Search in Clutter. Vision Sciences, Sarasota, FL, 2007. [abstract]
  11. M.J. Bravo and H. Farid. Object Recognition in Clutter. Perception & Psychophysics, 68(6):911- 918, 2006. [paper]
  12. V. Maljkovic, P. Martini and H. Farid. The Contribution of Statistical Image Differences to Human Rapid Categorization of Natural Scenes is Negligible. Vision Sciences, Sarasota, FL, 2006. [abstract]
  13. M.J. Bravo and H. Farid. Using an Interest Point Detector to Find Potential Fragments for Recognition. Vision Sciences, Sarasota, FL, 2006. [abstract]
  14. M.J. Bravo and H. Farid. The Depth of Distractor Processing in Search Through Clutter. Vision Sciences, Sarasota, FL, 2005. [abstract]
  15. M.J. Bravo and H. Farid. Search For a Category Target in Clutter. Perception, 33:643-652, 2004. [paper]
  16. M.J. Bravo and H. Farid. Recognizing and Segmenting Objects in Clutter. Vision Research, 44(4):385-396, 2004. [paper]
  17. M.J. Bravo and H. Farid. Still Searching a Cluttered Scene. Vision Sciences, Sarasota, FL, 2004. [abstract]
  18. V. Maljkovic, P. Martini and H. Farid. The Time-Course of Categorization of Real-Life Scenes with Affective Content. Vision Sciences, Sarasota, FL, 2004. [abstract]
  19. M.J. Bravo and H. Farid. Object Segmentation by Top-Down Processes. Visual Cognition, 10(4):471-491, 2003. [paper]
  20. M.J. Bravo and H. Farid. Searching a Cluttered Scene. Vision Sciences, Sarasota, FL, 2003. [abstract]
  21. H. Farid. Temporal Synchrony in Perceptual Grouping: A Critique. Trends in Cognitive Sciences, 6(7):284-288, 2002. [paper]
  22. H. Farid and E.H. Adelson. Energy versus Synchrony in Perceptual Grouping. Vision Sciences, Sarasota, FL, 2002. [abstract]
  23. M.J. Bravo and H. Farid. Segmentation in Clutter. Vision Sciences, Sarasota, FL, 2002. [abstract]
  24. H. Farid and E.H. Adelson. Synchrony Does Not Promote Grouping in Temporally Structured Displays. Nature Neuroscience, 4(9):875-876, 2001. [paper] [supplemental: video]
  25. M.J. Bravo and H. Farid. Texture Perception on Folded Surfaces. Perception, 30(7):819-832, 2001. [paper]
  26. R. van Ee, B. Anderson, and H. Farid. Occlusion Junctions do not Improve Stereoacuity. Spatial Vision, 15(1):45-49, 2001. [paper]
  27. M.J. Bravo and H. Farid. Top-Down and Bottom-Up Processes for Object Segmentation. Vision Sciences, Sarasota, FL, 2001. [abstract]
  28. M.J. Bravo and H. Farid. Effects of 3D Structure on Motion Segmentation. Vision Research, 40(6):695-704, 2000. [paper]
  29. H. Farid and E.H. Adelson. Standard Mechanisms Can Explain Grouping in Temporally Synchronous Displays. Investigative Opthalmology and Visual Science, Fort Lauderdale, FL, 2000. [abstract]
  30. M.J. Bravo and H. Farid. The Role of Object Recognition in Scene Segmentation. Investigative Opthalmology and Visual Science, Fort Lauderdale, FL, 2000. [abstract]
  31. E.H. Adelson and H. Farid. Filtering Reveals Form in Temporally Structured Displays. Science, 286:2231, 1999. [paper]
  32. M.J. Bravo and H. Farid. Texture Segmentation in 3D. Investigative Opthalmology and Visual Science, Fort Lauderdale, FL, 1999. [abstract]
  33. M.J. Bravo and H. Farid. The Effects of 2D and 3D Smoothness on Motion Segmentation. Investigative Opthalmology and Visual Science, Fort Lauderdale, FL, 1998. [abstract]
  34. H. Farid, E.P. Simoncelli, M.J. Bravo and P.R. Schrater. Effects of Contrast and Period on Perceived Coherence of Moving Square-Wave Plaids (evidence for a speed bias in the human visual system). Investigative Opthalmology and Visual Science, Fort Lauderdale, FL, 1995. [abstract]
  35. H. Farid and E.P. Simoncelli. The Perception of Transparency in Moving Square-Wave Plaids. Investigative Opthalmology and Visual Science, Sarasota, FL, 1994. [abstract]


 
COMPUTER VISION
We have developed techniques to separate reflections [1, 2], optically estimate range [3, 4, 5, 6] and experience telepresence [7, 8, 9].

  1. H. Farid and E.H. Adelson. Separating Reflections from Images by use of Independent Components Analysis. Journal of the Optical Society of America, 16(9):2136-2145, 1999. [paper] [code]
  2. H. Farid and E.H. Adelson. Separating Reflections and Lighting in Images Using Independent Components Analysis. Computer Vision and Pattern Recognition (CVPR), June 1999. [paper] [code]
  3. H. Farid and E.P. Simoncelli. Range Estimation by Optical Differentiation. Journal of the Optical Society of America, 15(7): 1777-1786, 1998. [paper]
  4. H. Farid. Range Estimation by Optical Differentiation, Department of Computer and Information Science, Univerisity of Pennsylvania, 1997. [dissertation]
  5. H. Farid and E.P. Simoncelli. A Differential Optical Range Camera. Optical Society of America, Rochester, NY, 1996. [paper]
  6. E.P. Simoncelli and H. Farid. Direct Differential Range Estimation Using Optical Masks. European Conference on Computer Vision (ECCV), Cambridge, UK, 1996. [paper]
  7. H. Fuchs, G. Bishop, K. Arthur, L. McMillan, R. Bajcsy, S.W. Lee, H. Farid and T. Kanade. Virtual Space Teleconferencing Using a Sea of Cameras. First International Symposium on Medical Robotics and Computer Assisted Surgery, Pittsburgh, PA, 1994. [paper]
  8. K. Arthur, G. Bishop, R. Bajcsy, H. Farid, H. Fuchs, S.W. Lee, L. McMillan and A. State. Virtual Reality and Telepresence for 21st Century Remote Medical Consultation. Second Carolina Conference in Biomedical Engineering, 1994. [NA]
  9. H. Farid, S.W. Lee, and R. Bajcsy. View Selection Strategies for Multi-View, Wide-Baseline Stereo. Technical Report, Department of Computer Science, University of Pennsylvania, 1994. [paper]
 
MEDICAL IMAGING
We have developed techniques to register medical imagery [1, 5, 8, 12, 13, 14] and perform image-guided neurosurgery [2, 3, 4, 6, 9, 10].

  1. S. Periaswamy and H. Farid. Medical Image Registration with Partial Data. Medical Image Analysis, 10:452-464, 2006. [paper] [code]
  2. H. Sun, K.E. Lunn, H. Farid, Z. Wu, D.W. Roberts, A. Hartov and K.D. Paulsen. Stereopsis-Guided Brain Shift Compensation. IEEE Transactions on Medical Imaging, 24(8):1039-1052, 2005. [NA]
  3. H. Sun, D.W. Roberts, H. Farid, Z. Wu, A. Hartov and K.D. Paulsen. Cortical Surface Tracking Using a Stereoscopic Operating Microscope. Neurosurgery, 56:86-97, 2005. [abstract]
  4. H. Sun, H. Farid, D.W. Roberts, K. Rick, A. Hartov, and K.D. Paulsen. A Non-Contacting 3-D Digitizer for Use in Image-Guided Neurosurgery. Steroetactic and Functional Neurosurgery, 80(1-4):120-124, 2003. [paper]
  5. S. Periaswamy and H. Farid. Elastic Registration in the Presence of Intensity Variations. IEEE Transactions on Medical Imaging, 22(7):865-874, 2003. [paper]
  6. H. Sun, H. Farid, K. Rick, A. Hartov, D.W. Roberts, and K.D. Paulsen. Estimating Cortical Surface Motion Using Stereopsis for Brain Deformation Models. Medical Image Computing & Computer Assisted Intervention (MICCAI), Montreal, Canada, 2003. [paper]
  7. J. Ford, H. Farid, F. Makedon, L.A. Flashman, T.W. McAllister, V. Megalooikonomou, and A.J. Saykin. Patient Classification of fMRI Activation Maps. Medical Image Computing & Computer Assisted Intervention (MICCAI), Montreal, Canada, 2003. [paper]
  8. S. Periaswamy and H. Farid. Elastic Registration with Partial Data. Second International Workshop on Biomedical Image Registration, Philadelphia, PA, 2003. [paper]
  9. H. Sun, H. Farid D. Roberts, K. Rick, A. Kartov, and K. Paulsen. A Non-contacting 3-D Digitizer For Use in Image-Guided Neurosurgery. American Society for Stereotactic and Functional Neurosurgery, New York City, 2003. [abstract]
  10. H. Sun, H. Farid, A. Hartov, K.E. Lunn, D.W. Roberts, K.D. Paulsen. Real-time Correction Scheme for Calibration and Implementation of Microscope-based Image-guided Neurosurgery. SPIE’s International Symposium on Medical Imaging, San Diego, CA, 2002. [NA]
  11. S. Inati, H. Farid, K. Sherwin, and S. Grafton. A Global Probabilistic Approach to Fiber Tractography with Diffusion Tensor MRI. Human Brain Mapping, Brighton, UK, 2001. [abstract]
  12. J.B. Weaver, S. Periaswamy, H. Farid, D.N. Rockmore, C.J. Kasales, W. Black, and D.M. Healy Jr. Lesion Size Estimation Using Warped Registration of Interval Images. International Society for Magnetic Resonance in Medicine, 2001. [NA]
  13. S. Periaswamy and H. Farid. Differential Elastic Image Registration. TR2001-413, Department of Computer Science, Dartmouth College, September 2001. [paper]
  14. S. Periaswamy, J.B. Weaver, D.M. Healy Jr., D. Rockmore, P.J. Kostelec, and H. Farid. Differential Affine Motion Estimation for Medical Image Registration. SPIE’s 45th Annual Meeting, San Diego, CA, 2000. [paper]
 
COMPUTATIONAL BIOLOGY
We have developed techniques to automate the analysis of wildlife photographs [1, 2, 3], analyze the 3-D structure of Damselflies [4, 5, 6] and design and predict protein structure [8, 9].

  1. D.T. Bolger, T.A. Morrison, B. Vance, D. Lee, and H. Farid. A Computer-Assisted System for Photographic Mark-Recapture Analysis. Methods in Ecology and Evolution, 3(5):813-822, 2012. [paper] [supplemental] [code]
  2. D.T. Bolger, T. Morrison, B. Vance and H. Farid. Development and Application of a Computer-Assisted System for Photographic Mark-Recapture Analysis. Ecological Society of America, Pittsburgh, PA, 2010. [abstract] [code]
  3. D.T. Bolger, T. Morrison, B. Vance and H. Farid. A New Software Application for Photographic Mark Recapture Analysis. Society for Conservation Biology, Edmonton Alberta, Canada, 2010. [abstract] [code]
  4. L. Shen, H. Farid and M.A. McPeek. Modeling 3-Dimensional Morphological Structures using Spherical Harmonics. Evolution, 63(4):1003-1016, 2009. [paper] [code]
  5. M.A. McPeek, L. Shen and H. Farid. The Correlated Evolution of 3-Dimensional Reproductive Structure Between Male and Female Damselflies. Evolution, 63(1):73-83, 2009. [paper] [code]
  6. M.A. McPeek, L. Shen, J.Z. Torrey and H. Farid. The Tempo and Mode of 3-Dimensional Morphological Evolution in Male Reproductive Structures. American Naturalist, 171(5):E158-E178, 2008. [paper] [code]
  7. R.H. Lilien, H. Farid and B.R. Donald. Probabilistic Disease Classification of Expression-Dependent Proteomic Data from Mass Spectrometry of Human Serum. Journal of Computational Biology, 10(6):925-946, 2003. [paper] [code]
  8. X. Jiang, H. Farid, E. Pistor and R. S. Farid. A New Approach to the Design of Uniquely Folded Thermally Stable Proteins. Protein Science, 9:403-416, 2000. [paper]
  9. P.S. Shenkin, H. Farid and J.S. Fetrow. Prediction and Evaluation of Side-chain Conformations for Protein Backbone Structures. Proteins: Structure, Function and Genetics, 26:323-352, 1996. [NA]
 
MISCELLANEOUS
Quantifying geologic surfaces [3, 4], building 3-D topographical maps [6, 7], 3-D reconstruction of Ancient Egyptian tombs [8, 9, 10] and the Jose Clemente Orozco murals [11], math for kids [12] and science for kids [13].

  1. H. Farid. Digital Imaging, Encyclopedia of Perception, 2009. [entry]
  2. H. Farid. Photography Changes What We are Willing to Believe, Smithsonian Photography Initiative: Click! Photography Changes Everything, 2008. [entry]
  3. D.C. Finnegan, H. Farid, D.E. Lawson and W. Krabill. Quantifying Surface Fluctuations using Optical Flow Techniques and Multi-Temporal LiDAR. Transactions of the American Geophysical Union, San Francisco, CA, 2006. [abstract]
  4. H. Farid and D.C. Finnegan. Quantifying Planetary and Terrestrial Geologic Surfaces Using Wavelet Statistics. Transactions of the American Geophysical Union, San Francisco, CA, 2005. [abstract]
  5. J.E. Dobson, J.B. Woodward, S.A. Schwarz, J.C. Marchesini, H. Farid, and S.W. Smith. The Dartmouth Green Grid. Workshop on High Performance Computing in Academia, Atlanta, GA, 2005. [paper]
  6. A. Heimsath and H. Farid. Hillslope Topography from Unconstrained Photographs. Mathematical Geology, 34(8):929-952, 2002. [paper]
  7. A.M. Heimsath and H. Farid. Hillslope Topography from Unconstrained Photographs. Transactions of the American Geophysical Union, San Francisco, CA, 2002. [abstract]
  8. H. Farid and S. Farid. Unfolding Sennedjem’s Tomb. KMT: A Modern Journal of Ancient Egypt, 12(1):46-59, 2001. [paper] [images]
  9. H. Farid. Reconstructing Ancient Egyptian Tombs. The International Symposium on Virtual and Augmented Architecture, Dublin, Ireland, 2001. [paper] [images]
  10. Egypt: 3-D reconstruction of ancient Egyptian tombs. [link]
  11. Orozco: 3-D reconstruction of Jose Clemente Orozco’s murals. [link]
  12. Math Kids: learn how mathematics can enter into nearly every corner of your life. [link]
  13. Science Kids: providing answers to some of those perplexing questions about Science and Nature. [link]