Abstract
The increase in availability and use of digital three-dimensional (3D) synthetic or scanned objects, makes the availability of basic database operations, such as retrieval, necessary. Retrieval methods are based on the extraction of a compact shape descriptor; the challenge is to design a shape descriptor that describes the original object in sufficient detail to make accurate 3D object retrieval possible. Building on previous work, this paper proposes a novel depth buffer-based shape descriptor (called PTK) that encompasses symmetry, eigenvalue-related weighting and an object thickness related measure to provide an accuracy surpassing previous state-of-the-art methods. An evaluation of the novel method's parameters and a direct comparison to other approaches are carried out using publicly available and widely used databases.
Original language | English (US) |
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Pages (from-to) | 5-14 |
Number of pages | 10 |
Journal | Visual Computer |
Volume | 23 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2007 |
Keywords
- Depth buffer
- Object retrieval
- Symmetry
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design