Bag of Compact HKS-based Feature Descriptors

Eurographics DL Repository

Show simple item record ElNaghy, Hanan en_US Hamad, Safwat en_US
dc.contributor.editor I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp en_US 2015-04-27T11:03:38Z 2015-04-27T11:03:38Z 2015 en_US
dc.identifier.uri en_US
dc.description.abstract 3D object retrieval has become an integral part in many today's applications attracting extensive research efforts. This paper introduces an enhanced 3D object retrieval technique using a compact and highly discriminative feature point descriptor. The key idea is based on integrating Bag of features (BoF) paradigm with Heat Kernel Signature (HKS) for feature description and detection. Initially, HKS computation phase defines HKS point signatures for each 3D model. Then, an innovative feature point detection algorithm provides a succinct set of feature points to be associated with a compact HKS-based descriptor vectors computed at local time scales. Finally, we take advantage of the BoF paradigm to encode a given 3D model with an informative feature frequency vector. The proposed approach has been evaluated on SHREC 2015 dataset of non-rigid models. The experimental results demonstrate the effective retrieval performance, invariance to different kinds of deformation and possible noise. en_US
dc.publisher The Eurographics Association en_US
dc.subject H.3.3 [Information Storage and Retrieval] en_US
dc.subject Information Search and Retrieval en_US
dc.subject I.2.10 [Artificial Intelligence] en_US
dc.subject Vision and Scene Understanding en_US
dc.subject Shape en_US
dc.subject I.3.7 [Computer Graphics] en_US
dc.subject Three Dimensional Graphics and Realism en_US
dc.subject I.3.8 [Computer Graphics] en_US
dc.subject Applications. en_US
dc.title Bag of Compact HKS-based Feature Descriptors en_US
dc.description.seriesinformation Eurographics Workshop on 3D Object Retrieval en_US
dc.description.sectionheaders Posters en_US
dc.identifier.doi 10.2312/3dor.20151060 en_US
dc.identifier.pages 87-90 en_US

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