A Physical Approach to Color Image Understanding
Taylor & Francis, Feb 15, 1993 - Computers - 192 pages
The author presents a vision model that uses color information to interpret the effects of shading and highlights on a scene. Transcending more traditional approaches, this method may lead to more reliable and useful techniques for image understanding.
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A Physical Reflection Model
A Sensor Model
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algorithm bloomed pixels blue donut body and surface body reflection component body reflection image body reflection vector chromatic aberration clipped and bloomed color bands color clusters color constancy Color Figure color histogram color image segmentation color insert color pixels color space color variation Computer Vision Conference on Computer cups under yellow described determine dichromatic plane Dichromatic Reflection Model dielectrics difference vector eight plastic objects geometric global method gmax green cup heuristic highlight cluster highlight line highlight pixels IEEE illumination color illumination geometry illumination vector image analysis image areas image segmentation interreflection light reflection light source linear clusters material boundaries matte and highlight matte cluster matte line matte pixels object color object shape optical orange cup Pattern Recognition phase angle photometric pixel values plastic scene scene properties shading and highlights spectral cluster spectral power distributions specular reflection surface normal surface reflection component surface reflection vectors three plastic cups window yellow cup