Title :
Shape Google: a computer vision approach to isometry invariant shape retrieval
Author :
Ovsjanikov, Maks ; Bronstein, Alexander M. ; Bronstein, Michael M. ; Guibas, Leonidas J.
Author_Institution :
ICME, Stanford Univ., Stanford, CA, USA
fDate :
Sept. 27 2009-Oct. 4 2009
Abstract :
Feature-based methods have recently gained popularity in computer vision and pattern recognition communities, in applications such as object recognition and image retrieval. In this paper, we explore analogous approaches in the 3D world applied to the problem of non-rigid shape search and retrieval in large databases.
Keywords :
computer graphics; computer vision; image retrieval; pattern recognition; search engines; shape recognition; 3D world application; computer vision; computer vision approach; feature based methods; image retrieval; isometry invariant shape retrieval; object recognition; pattern recognition; shape Google; Computer science; Computer vision; Image databases; Image retrieval; Information retrieval; Object recognition; Pattern recognition; Robustness; Shape; Spatial databases;
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4442-7
Electronic_ISBN :
978-1-4244-4441-0
DOI :
10.1109/ICCVW.2009.5457682
