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

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摘要

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.

论文关键词:Perspective transformation,Projective invariance,Cross-ratio,Cross-ratio histogram,Motif cooccurence matrix,Precision,Recall

论文评审过程:Received 7 June 2005, Accepted 10 April 2006, Available online 5 July 2006.

论文官网地址:https://doi.org/10.1016/j.patcog.2006.04.036