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» Recovering Illumination and Texture Using Ratio Images
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SIGGRAPH
2000
ACM
15 years 5 months ago
Acquiring the reflectance field of a human face
We present a method to acquire the reflectance field of a human face and use these measurements to render the face under arbitrary changes in lighting and viewpoint. We first acqu...
Paul E. Debevec, Tim Hawkins, Chris Tchou, Haarm-P...
MVA
2007
161views Computer Vision» more  MVA 2007»
15 years 3 months ago
Using Space-Time Interest Points for Video Sequence Synchronization
We introduce an algorithm for synchronizing two video sequences recorded by stationary cameras. It extends common RANSAC-based approaches that recover either a homography or a fun...
Daniel Wedge, Du Huynh, Peter Kovesi
ECCV
2008
Springer
16 years 3 months ago
Projected Texture for Object Classification
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly t...
Avinash Sharma, Anoop M. Namboodiri
WACV
2005
IEEE
15 years 7 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain
CRV
2006
IEEE
176views Robotics» more  CRV 2006»
15 years 3 months ago
Stereo Retinex
The retinex algorithm for lightness and color constancy is extended to include 3-dimensional spatial information reconstructed from a stereo image. A key aspect of traditional ret...
Weihua Xiong, Brian V. Funt