PTK: A novel depth buffer-based shape descriptor for three-dimensional object retrieval

Geogios Passalis, Theoharis Theoharis, Ioannis A. Kakadiaris

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


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 languageEnglish (US)
Pages (from-to)5-14
Number of pages10
JournalVisual Computer
Issue number1
StatePublished - Jan 2007


  • Depth buffer
  • Object retrieval
  • Symmetry

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design


Dive into the research topics of 'PTK: A novel depth buffer-based shape descriptor for three-dimensional object retrieval'. Together they form a unique fingerprint.

Cite this