Sketch-based 3D Object Retrieval Using Two Views and a Visual Part Alignment
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.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.description.sectionheaders | Cross-modality 3D Object Retrieval | en_US |
dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | en_US |
dc.identifier.doi | 10.2312/3dor.20151053 | en_US |
dc.identifier.pages | 39-46 | en_US |
dc.identifier.uri | https://doi.org/10.2312/3dor.20151053 | 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 |
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