Sketch-based 3D Object Retrieval Using Two Views and a Visual Part Alignment

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dc.contributor.author Yasseen, Zahraa en_US
dc.contributor.author Verroust-Blondet, Anne en_US
dc.contributor.author Nasri, Ahmad en_US
dc.contributor.editor I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp en_US
dc.date.accessioned 2015-04-27T11:03:35Z
dc.date.available 2015-04-27T11:03:35Z
dc.date.issued 2015 en_US
dc.identifier.uri http://dx.doi.org/10.2312/3dor.20151053 en_US
dc.description.abstract Hand drawn figures are the imprints of shapes in human's mind. How a human expresses a shape is a consequence of how he or she visualizes it. A query-by-sketch 3D object retrieval application is closely tied to this concept from two aspects. First, describing sketches must involve elements in a figure that matter most to a human. Second, the representative 2D projection of the target 3D objects must be limited to ''the canonical views'' from a human cognition perspective. We advocate for these two rules by presenting a new approach for sketch-based 3D object retrieval that describes a 2D shape by the visual protruding parts of its silhouette. Furthermore, the proposed approach computes estimations of ''part occlusion'' and ''symmetry'' in 2D shapes in a new paradigm for viewpoint selection that represents 3D objects by only the two views corresponding to the minimum value of each. en_US
dc.publisher The Eurographics Association en_US
dc.subject I.3.3 [Computer Graphics] en_US
dc.subject Picture/Image Generation en_US
dc.subject Line and curve generation en_US
dc.title Sketch-based 3D Object Retrieval Using Two Views and a Visual Part Alignment en_US
dc.description.seriesinformation Eurographics Workshop on 3D Object Retrieval en_US
dc.description.sectionheaders Cross-modality 3D Object Retrieval en_US
dc.identifier.doi 10.2312/3dor.20151053 en_US
dc.identifier.pages 39-46 en_US


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