Paper Info
Title
Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition
Abstract
We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario approach for matching. The contributions naturally lead to a semi-local Shape Context. Results show that this method is able to work in contexts where Shape Context cannot, such as content-based video retrieval.
Year
DOI
Venue
2009
10.1007/978-3-642-10268-4_15
CIARP
Keywords
Field
DocType
level line,novel shape recognition method,content-based video retrieval,robust matching,shape context,semi-local shape context,morphological shape context,shape recognition,contrario approach
Active shape model,Computer vision,Canny edge detector,Locality,Pattern recognition,Video retrieval,Computer science,Artificial intelligence,Shape context,Encoding (memory)
Conference
Volume
ISSN
Citations 
5856
0302-9743
2
PageRank 
References 
Authors
0.43
7
5
Name
Order
Citations
PageRank
Mariano Tepper16812.80
Francisco Gómez220.43
Pablo Musé323121.27
Andrés Almansa419923.22
Marta Mejail57618.68