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https://hdl.handle.net/2440/94445
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Type: | Conference paper |
Title: | What parts of a shape are discriminative? |
Author: | Premachandran, V. Kakarala, R. |
Citation: | Proceedings / ICIP ... International Conference on Image Processing, 2013, pp.2857-2861 |
Publisher: | IEEE |
Issue Date: | 2013 |
Series/Report no.: | IEEE International Conference on Image Processing ICIP |
ISBN: | 9781479923410 |
ISSN: | 1522-4880 |
Conference Name: | 20th IEEE International Conference on Image Processing (ICIP 2013) (15 Sep 2013 - 18 Sep 2013 : Melbourne, Australia) |
Statement of Responsibility: | Vittal Premachandran and Ramakrishna Kakarala |
Abstract: | Shape is a distinguishing feature of objects. But when objects have similar global shapes, discriminating them becomes difficult. This calls for the identification of important parts of the shapes. In this paper, we introduce the concept of discriminative parts and propose a method to identify the same. We show how levels of importance can be assigned to different regions of contours, based on their discriminative capability. Our experiments show that the method is promising and can identify semantically meaningful segments as being important segments. |
Keywords: | Shape Image Retrieval Object Recognition |
Rights: | ©2013 IEEE |
DOI: | 10.1109/ICIP.2013.6738588 |
Published version: | http://dx.doi.org/10.1109/icip.2013.6738588 |
Appears in Collections: | Aurora harvest 3 Computer Science publications |
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