Color/texture analysis and synthesis for model-based human image coding

Satoshi Ishibashi; Fumio Kishino

doi:10.1117/12.50245

1 November 1991 Color/texture analysis and synthesis for model-based human image coding

Satoshi Ishibashi, Fumio Kishino

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50245
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

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.

Citation Download Citation

Satoshi Ishibashi and Fumio Kishino "Color/texture analysis and synthesis for model-based human image coding", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); https://doi.org/10.1117/12.50245

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