Recognition of 3D free-form objects using segment-based stereo vision

Y. Sumi, Y. Kawai, Takashi Yoshimi, F. Tomita

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

13 Citations (Scopus)

Abstract

We propose a new method to recognize 3D free-form objects from their apparent contours. It is the extension of our established method to recognize objects with fixed edges. Object models are compared with 3D boundaries which are extracted by segment-based stereo vision. Based on the local shapes of the boundaries, candidate transformations are generated. The candidates are verified and adjusted based on the whole shapes of the boundaries. The models are built from all-around range data of the objects. Experimental results show the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Computer Vision
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages668-674
Number of pages7
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE 6th International Conference on Computer Vision - Bombay, India
Duration: 1998 Jan 41998 Jan 7

Other

OtherProceedings of the 1998 IEEE 6th International Conference on Computer Vision
CityBombay, India
Period98/1/498/1/7

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

Cite this

Sumi, Y., Kawai, Y., Yoshimi, T., & Tomita, F. (1998). Recognition of 3D free-form objects using segment-based stereo vision. In Proceedings of the IEEE International Conference on Computer Vision (pp. 668-674). Piscataway, NJ, United States: IEEE.