View selection for sketch-based 3D model retrieval using visual part shape description

doi:10.1007/s00371-016-1328-7

Return

View selection for sketch-based 3D model retrieval using visual part shape description

2016-11-11

Z. Yasseen *

Anne Verroust-Blondet

Ahmad Nasri

DOI：10.1007/s00371-016-1328-7

Original

Save

View PDF

Abstract

En 中文

Hand drawings 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 should 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, we present a list of candidate 2D projections that represent the canonical views of a 3D object. The general rule is that humans would visually avoid part occlusion and symmetry. We quantify the extent of part occlusion of the projected silhouettes of 3Dobjects by skeletal length computations. Sorting the projected views in the decreasing order of skeletal lengths gives access to a subset of the best representative views. We experimentally show how views that cause misinterpretation and mismatching can be detected according to the part occlusion criteria. We also propose criteria for locating side, off axis, or asymmetric views.

Keywords:

Sketch-based 3D object retrieval

2D Shape description

Best view selection

Symmetry estimation

Side view

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.