The Synthesis and Analysis of Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
A reflectance model for computer graphics
SIGGRAPH '81 Proceedings of the 8th annual conference on Computer graphics and interactive techniques
Shape and Source from Shading
Learning a Color Algorithm from Examples
Learning a Color Algorithm from Examples
Estimating the Illuminant Color from the Shading of a Smooth Surface
Estimating the Illuminant Color from the Shading of a Smooth Surface
Surface Identification Using the Dichromatic Reflection Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Reflectance Modeling Using a Polychromatic Laser Range Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Constancy Using the Inter-Reflection from a Reference Nose
International Journal of Computer Vision
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Modeling of Colour Data
International Journal of Computer Vision
Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color models for outdoor machine vision
Computer Vision and Image Understanding
Linear color segmentation and its implementation
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Separating Reflection Components of Textured Surfaces Using a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dichromatic illumination estimation without pre-segmentation
Pattern Recognition Letters
Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Chromaticity-based separation of reflection components in a single image
Pattern Recognition
Principles of appearance acquisition and representation
ACM SIGGRAPH 2008 classes
Principles of Appearance Acquisition and Representation
Foundations and Trends® in Computer Graphics and Vision
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
Illumination-robust variational optical flow with photometric invariants
Proceedings of the 29th DAGM conference on Pattern recognition
Illumination chromaticity estimation using inverse-intensity chromaticity space
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Correspondence search in the presence of specular highlights using specular-free two-band images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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In computer vision applications, analysis of shading information requires a proper model of light reflection from object surfaces. To overcome the shortcoming of the most often used model and to extend the reflection model for computer color vision, an examination is made of the light reflection problem using the bidirectional spectral-reflectance distribution function (BSRDF) to specify both incident- and reflected-beam geometries. It is shown that the product form can still be retained for a polychromatic light source under two lighting conditions: the light source is collimated; or the spectral factor and the geometric factor can be separated for both the light source and the BSRDF of the surface. The reflection model is then applied to the formulation of a neutral-interface-reflection model, which is tested experimentally. The results show the adequacy of this type of model for surfaces of some material compositions, e.g. plastics, plant leaves, painted surfaces, orange peels, and some glossy cloth, but not for others, e.g. colored paper and some ceramics.