NDLI: Object Description Based on Spatial Relations between Level-Sets

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2012 International Conference on Digital Image Computing Techniques and Applications (DICTA)

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Message from the Conference Chairs - DICTA 2012

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Object Description Based on Spatial Relations between Level-Sets

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Object Description Based on Spatial Relations between Level-Sets

Content Provider	IEEE Xplore Digital Library
Author	Garnier, M. Hurtut, T. Wendling, L.
Copyright Year	2012
Abstract	Object recognition methods usually rely on either structural or statistical description. These methods aim at describing different types of information such as the outer contour, the inner structure or texture effects. Comparing two objects then comes down to averaging different data representations which may be a tricky issue. In this paper, we introduce an object descriptor based on the spatial relations that structures object content. This descriptor integrates in a single homogeneous representation both shape information and relative spatial information about the object under consideration. We use this description in the context of image retrieval and show results on a butterfly image database compared with both GFD and SIFT descriptors. These results show that our method is more efficient to distinguish the objects where the spatial organization is a discriminative feature.
Starting Page	1
Ending Page	7
File Size	704248
Page Count	7
File Format	PDF
ISBN	9781467321808
e-ISBN	9781467321815
e-ISBN	9781467321792
DOI	10.1109/DICTA.2012.6411730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Shape Databases Level set Force Robustness Object recognition
Content Type	Text
Resource Type	Article

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