Shape memorization and recognition of 3D objects using a similarity-based aspect-graph approach

Jwu-Sheng Hu*, Tzung Min Su

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents an integrated framework for recognizing 3D objects from 2D images. A flexible combinational algorithm motivated by the novel view expressed by Cyr and Kimia [1] is proposed to generate the aspects of a 3D object as the object prototype using features extracted from the collected 2D images sampled at random intervals from the viewing sphere. Fourier descriptors of the sampled points on the object contour and point-to-point lengths are calculated as the features and similarity metrics are applied to extract the characteristic views as the aspects. Moreover, the object prototype can be integrated from new collected 2D views. Besides, foreground detection with shadow and highlight removal is used to improve the facility of capturing the explicit object efficiently. The effectiveness of the proposed method is demonstrated by experiments with different rigid objects and human postures.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
Pages4920-4925
Number of pages6
Volume25
Edition1
DOIs
StatePublished - 28 Aug 2007
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameJournal of Information Science and Engineering
PublisherInstitute of Information Science
ISSN (Print)1016-2364

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan
CityTaipei
Period8/10/0611/10/06

Keywords

  • Aspect-graph
  • Fourier descriptor
  • Object recognition
  • Shape memorization
  • Similarity measure

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    Hu, J-S., & Su, T. M. (2007). Shape memorization and recognition of 3D objects using a similarity-based aspect-graph approach. In 2006 IEEE International Conference on Systems, Man and Cybernetics (1 ed., Vol. 25, pp. 4920-4925). [4274694] (Journal of Information Science and Engineering). https://doi.org/10.1109/ICSMC.2006.385085, https://doi.org/10.6688/JISE.2009.25.1.16