Title :
Human face image coding using deformable templates, wavelet decomposition and VQ
Author :
Sakalli, Mustafa ; Yan, Hong
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
A new model based compression scheme of face images is proposed as a combination of context-based and classic compression schemes. Deformable templates are employed to locate salient features of face images whose residuals are refined in a further residual vector quantization. Normalized face images are decomposed into subbands by using bi-orthogonal spline filters. Subbands and their first degree residuals are vector quantized sequentially in a pyramidal fashion. Wavelet coefficients are zonal truncated
Keywords :
feature extraction; filtering theory; image coding; splines (mathematics); transform coding; vector quantisation; wavelet transforms; VQ; bi-orthogonal spline filters; context-based compression; deformable templates; first degree residuals; human face image coding; image decomposition; model based compression; residual vector quantization; subbands; wavelet coefficients; wavelet decomposition; zonal truncation; Face recognition; Filters; Humans; Image coding; Image recognition; Image segmentation; Image storage; Spline; Vector quantization; Wavelet coefficients;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648270
