Title :
Retrieving faces by the PIFS fractal code
Author :
Chandran, Sharat ; Kar, S.
Author_Institution :
Comput. Sci. & Engg. Dept., IIT, Mumbai, India
Abstract :
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However the use of fractals for indexing images in content based retrieval of video and static images has not received as much attention. In this paper, we provide the theoretical arguments to justify their use in image retrieval. Our web-enabled implementation on the FERET database shows encouraging results.
Keywords :
content-based retrieval; face recognition; fractals; image retrieval; FERET database; compressing images; computer graphics; content based retrieval; fractals; image retrieval; retrieving faces; static images; unstructured images; video images; Computer science; Fractals; Hair; Image coding; Image databases; Image generation; Image recognition; Image retrieval; Image segmentation; Indexing;
Conference_Titel :
Applications of Computer Vision, 2002. (WACV 2002). Proceedings. Sixth IEEE Workshop on
Print_ISBN :
0-7695-1858-3
DOI :
10.1109/ACV.2002.1182136
