A Photometric Approach for Estimating Normals and Tangents presented at ACM SIGGRAPH Asia 2008. (with Michael Holroyd, Jason Lawrence and Greg Humphreys).
[PDF]
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Passive Reflectometry presented at ECCV 2008. (with Fabiano Romeiro and Yuriy Vasilyev).
[PDF]
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A Perception-based Color Space for Illumination-invariant Image Processing presented at SIGGRAPH 2008. (With Hamilton Chong and Steven Gortler).
[PDF]
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Autotagging Facebook: Social Network Context Improves Photo Annotation presented at the Internet Vision Workshop 2008. (with Zak Stone and Trevor Darrell. Best Paper Award.) [PDF]
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What do Color Changes Reveal about an Outdoor Scene? presented at CVPR 2008. (With Kalyan Sunkavalli, Fabiano Romeiro, Wojciech Matusik and Hanspeter Pfister). [PDF].
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Color Constancy Beyond Bags of Pixels appeared at CVPR 2008. (With Ayan Chakrabarti and Keigo Hirakawa). [PDF] [Online demo].
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Dense Specular Shape from Multiple Specular Flows appeared at CVPR 2008. (With Yuriy Vasilyev, Yair Adato, and Ohad Ben-Shahar). [PDF].
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Photometric Stereo with Non-parametric and Spatially-varying Reflectance appeared at CVPR 2008. (With Neil Alldrin and David Kriegman). [PDF].
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Color Subspaces as Photometric Invariants to appear in the August issue of IJCV. (With Satya Mallick, David Kriegman and Peter Belhumeur). [PDF].
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2007:
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Toward a Theory of Shape from Specular Flow. ICCV 2007. (With Yair Adato, Yuriy Vasilyev, and Ohad Ben-Shahar). [PDF].
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The von Kries Hypothesis and a Basis for Color
Constancy. ICCV 2007. (With Hamilton Chong
and Steven Gortler).
[PDF].
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Isotropy, Reciprocity and the GBR Ambiguity. CVPR 2007. (With Ping Tan, Satya
Mallick, David Kriegman, and Long Quan). [PDF].
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2006 and earlier:
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Photometric Invariants from Color Subspaces:
Pure (specular-free) diffuse information by simple projections in
color space. Applications include stereo, optical flow,
shape-from-shading, segmentation, etc.
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Specular/Diffuse Separation:
Separating reflection components using multi-scale erosion. Applications to dichromatic editing.
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Reflectance Sharing:
Image-based rendering from a sparse set of images.
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Helmholtz Stereopsis:
Recovering the shape of surfaces with non-specular, specular or arbitrary surface reflectance.
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Some of this work is part of an ongoing project on appearance
capture that is being funded by an NSF CAREER award. For more
details, see the project
page.
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