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

Yasseen, Zahraa; Verroust-Blondet, Anne; Nasri, Ahmad

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

Files

039-046.pdf (1.12 MB)

Date

2015

Authors

Yasseen, Zahraa
Verroust-Blondet, Anne
Nasri, Ahmad

Publisher

The Eurographics Association

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.

        @inproceedings{10.2312:3dor.20151053
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp
},
title = {{Sketch-based 3D Object Retrieval Using Two Views and a Visual Part Alignment
}},
author = {Yasseen, Zahraa and 
Verroust-Blondet, Anne and 
Nasri, Ahmad
},
year = {2015
},
publisher = {The Eurographics Association
},
ISBN = {},
DOI = {10.2312/3dor.20151053
}
}