DocumentCode :
2771787
Title :
Model-based multi-stage compression of human face images
Author :
Sakalli, Mustafa ; Yan, Hong ; Lam, Kin-Man ; Kondo, Toshiaki
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1278
Abstract :
This paper describes a multi-stage compression scheme of human face images. Snakes are employed in localisation of facial features and biorthogonal spline filters are used for the decomposition of segmented and normalised face images. Wavelet coefficients are vector quantized in different number of cascaded stages depending on their contribution to the subjective quality of the image
Keywords :
filtering theory; image coding; image reconstruction; vector quantisation; wavelet transforms; biorthogonal spline filters; decomposition; human face images; image compression; model-based compression; snakes; vector quantization; wavelet coefficients; Eyes; Face; Humans; Image coding; Image resolution; Image segmentation; Image storage; Mouth; Nose; Rubber;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
ISSN :
1051-4651
Print_ISBN :
0-8186-8512-3
Type :
conf
DOI :
10.1109/ICPR.1998.711934
Filename :
711934
Link To Document :
بازگشت