Color/texture analysis and synthesis for model-based human image coding
Satoshi Ishibashi, Fumio Kishino · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
This paper proposes an efficient color/texture analysis and synthesis method for the model-based coding of human images. A shade and shadow elimination scheme is also introduced enhance texture analysis. The input human image is segmented into uniform color regions; color/texture data of each region is analyzed through the first and second order statistics. The synthesis process generates the color/texture of each region from the analyzied data and shading data, which is created from a three dimensional human body model and the new virtual lighting source. The proposed method acquires and encodes the objects’ original color/textures independently of shade and can reconstruct the color/textures while applying any shade effect desired.