Local Configuration of SIFT-like Features by a Shape Context
Language
English
Type
Proceedings of International Conferences
Authors
Martin Klinkigt, Koichi Kise
Title
Local Configuration of SIFT-like Features by a Shape Context
Journal
Proceedings of the 2nd China-Japan-Korea Joint Workshop on Pattern Recognition (CJKPR2010)
Pages
pp.11-15
Reviewed
Reviewed
Date
November 2010
Research fields
Object Recognition, Pattern recognition
Key
Klinkigt2010_CJKPR (id=1183)
Abstract
The representation of information plays the key role in searching a document. While for text documents it is simple to extract keywords to find a document, for images this task is more challenging. In this paper we discuss different representations of images, point out their advantages and disadvantages and present our proposed method for stable and reliable information extraction to address the difficulties in object recognition.
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