Bag of Compact HKS-based Feature Descriptors

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dc.contributor.authorElNaghy, Hananen_US
dc.contributor.authorHamad, Safwaten_US
dc.contributor.editorI. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkampen_US
dc.date.accessioned2015-04-27T11:03:38Z
dc.date.available2015-04-27T11:03:38Z
dc.date.issued2015en_US
dc.description.abstract3D 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.description.sectionheadersPostersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.doi10.2312/3dor.20151060en_US
dc.identifier.pages87-90en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20151060en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Information Storage and Retrieval]en_US
dc.subjectInformation Search and Retrievalen_US
dc.subjectI.2.10 [Artificial Intelligence]en_US
dc.subjectVision and Scene Understandingen_US
dc.subjectShapeen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplications.en_US
dc.titleBag of Compact HKS-based Feature Descriptorsen_US
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