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Retrieval of images of man-made structures based on projective invariance

DSpace at IIT Bombay

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Title Retrieval of images of man-made structures based on projective invariance
 
Creator RAJASHEKHAR
CHAUDHURI, S
NAMBOODIRI, VP
 
Subject object recognition
textural features
hough transform
shape measures
color
classification
segmentation
perspective transformation
projective invariance
cross-ratio
cross-ratio histogram
motif cooccurence matrix
precision
recall
 
Description In this paper we propose a geometry-based image retrieval scheme that makes use of projectively invariant features. Cross-ratio (CR) is an invariant feature under projective transformations for collinear points. We compute the CRs of point sets in quadruplets and the CR histogram is used as the feature for retrieval purposes. Being a geometric feature, it allows us to retrieve similar images irrespective of view point and illumination changes. We can retrieve the same building even if the facade has undergone a fresh coat of paints! Color and textural features can also be included, if desired. Experimental results show a favorably very good retrieval accuracy when tested on an image database of size 4000. The method is very effective in retrieving images having man-made objects rich in polygonal structures like buildings, rail tracks, etc. (c) 2006 Pattern Recognition Society.
 
Publisher PERGAMON-ELSEVIER SCIENCE LTD
 
Date 2011-08-26T08:23:58Z
2011-12-26T12:57:22Z
2011-12-27T05:47:29Z
2011-08-26T08:23:58Z
2011-12-26T12:57:22Z
2011-12-27T05:47:29Z
2007
 
Type Article
 
Identifier PATTERN RECOGNITION, 40(1), 296-308
0031-3203
http://dx.doi.org/10.1016/j.patcog.2006.04.036
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11249
http://hdl.handle.net/10054/11249
 
Language en