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ECCV
2004
Springer
14 years 7 months ago
Separating Specular, Diffuse, and Subsurface Scattering Reflectances from Photometric Images
Abstract. While subsurface scattering is common in many real objects, almost all separation algorithms focus on extracting specular and diffuse components from real images. In this...
Tai-Pang Wu, Chi-Keung Tang
TOG
2008
82views more  TOG 2008»
13 years 5 months ago
Practical modeling and acquisition of layered facial reflectance
We present a practical method for modeling layered facial reflectance consisting of specular reflectance, single scattering, and shallow and deep subsurface scattering. We estimat...
Abhijeet Ghosh, Tim Hawkins, Pieter Peers, Sune Fr...
ICCV
2001
IEEE
14 years 7 months ago
Photometric Image-Based Rendering for Image Generation in Arbitrary Illumination
A Photometric Image-Based Rendering (PIBR) concept is proposed that facilitates the generation of an image with an arbitrary illumination. Based on this concept, we aim to generat...
Yasuhiro Mukaigawa, Hajime Miyaki, Sadahiko Mihash...
CVPR
2005
IEEE
14 years 7 months ago
Beyond Lambert: Reconstructing Specular Surfaces Using Color
We present a photometric stereo method for non-diffuse materials that does not require an explicit reflectance model or reference object. By computing a data-dependent rotation of...
Satya P. Mallick, Todd Zickler, David J. Kriegman,...
ICIP
2006
IEEE
14 years 7 months ago
Stochastic Approach to Separate Diffuse and Specular Reflections
This paper presents separation of specular and diffuse reflection components from an image pair. The proposed approach is based on the dichromatic reflectance model and Markov ran...
Sang Hwa Lee, Hyung il Koo, Nam Ik Cho, Jong-Il Pa...