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Proceedings Paper

Color/texture analysis and synthesis for model-based human image coding
Author(s): Satoshi Ishibashi; Fumio Kishino
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Paper 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.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50245
Show Author Affiliations
Satoshi Ishibashi, NTT Human Interface Labs. (Japan)
Fumio Kishino, ATR Communication Systems Research Labs. (Japan)

Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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