Title :
On localization of objects in the wavelet domain
Author :
Grewe, Lynne ; Brooks, R.R.
Author_Institution :
Inst. of Commun. Sci. & Technol., California State Univ., Seaside, CA, USA
Abstract :
Wavelets produce sparse noise tolerant image representations. This paper explores wavelets used for object localization in target images. We propose utilizing the multi-resolution property of wavelets in an efficient object localization search. A cost metric of complexity and information measures selects the best wavelet decomposition level for object localization. Experimental results are presented
Keywords :
computational complexity; image representation; object recognition; search problems; wavelet transforms; cost metric; multi-resolution property; object localization; sparse noise tolerant image representations; target images; wavelet decomposition level; wavelet domain; Communications technology; Costs; Discrete wavelet transforms; Image representation; Object recognition; Pattern recognition; Target recognition; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 1997. CIRA'97., Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-8186-8138-1
DOI :
10.1109/CIRA.1997.613889
