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» Recovering Illumination and Texture Using Ratio Images
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ICCV
2005
IEEE
15 years 5 months ago
Integrating the Effects of Motion, Illumination and Structure in Video Sequences
Most work in computer vision has concentrated on studying the individual effects of motion and illumination on a 3D object. In this paper, we present a theory for combining the ef...
Yilei Xu, Amit K. Roy Chowdhury
SPIESR
2000
104views Database» more  SPIESR 2000»
15 years 1 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
RT
2001
Springer
15 years 4 months ago
Shader Lamps: Animating Real Objects With Image-Based Illumination
We describe a new paradigm for three-dimensional computer graphics, using projectors to graphically animate physical objects in the real world. The idea is to replace a physical o...
Ramesh Raskar, Greg Welch, Kok-Lim Low, Deepak Ban...
ICCV
2005
IEEE
16 years 1 months ago
Using Eye Reflections for Face Recognition Under Varying Illumination
Face recognition under varying illumination remains a challenging problem. Much progress has been made toward a solution through methods that require multiple gallery images of ea...
Ko Nishino, Peter N. Belhumeur, Shree K. Nayar
CVPR
2005
IEEE
16 years 1 months ago
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering th...
Sami Romdhani, Thomas Vetter