DocumentCode
2267071
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
fYear
2009
fDate
Sept. 27 2009-Oct. 4 2009
Firstpage
320
Lastpage
327
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCVW.2009.5457682
Filename
5457682
Link To Document