Sketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clustering

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dc.contributor.authorLi, Boen_US
dc.contributor.authorLu, Yijuanen_US
dc.contributor.authorJohan, Henryen_US
dc.contributor.editorUmberto Castellani and Tobias Schreck and Silvia Biasotti and Ioannis Pratikakis and Afzal Godil and Remco Veltkampen_US
dc.date.accessioned2013-09-24T12:04:07Z
dc.date.available2013-09-24T12:04:07Z
dc.date.issued2013en_US
dc.description.abstractSearching for relevant 3D models based on hand-drawn sketches is both intuitive and important for many applications, such as sketch-based 3D modeling and recognition.We propose a sketch-based 3D model retrieval algorithm by utilizing viewpoint entropy-based adaptive view clustering and shape context matching. Different models have different visual complexities, thus there is no need to keep the same number of representative views for each model. Motivated by this, we propose to measure the visual complexity of a 3D model by utilizing viewpoint entropy distribution of a set of sample views and based on the complexity value, we can adaptively decide the number of representative views. Finally, we perform Fuzzy C-Means based view clustering on the sample views based on their viewpoint entropy values. We test our algorithm on two latest sketch-based 3D model retrieval benchmarks and compare it with other four state-of-the-art approaches. The results demonstrate the superior performance and advantages of our algorithm.en_US
dc.description.sectionheadersFull Papersen_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-44-6en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR13/049-056en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.3.3 [Computer Graphics]en_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectInformation Search and Retrievalen_US
dc.titleSketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clusteringen_US
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