3D object localization based on occluding contour using STL CAD model

Kenichi Maruyama, Yoshihiro Kawai, Takashi Yoshimi, Fumiaki Tomita

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

4 Citations (Scopus)

Abstract

This paper describes a method to localize 3D objects, which is the extension of the segment-based object recognition method to use on a STL CAD model. Models for localization are automatically generated using contour generators, which are estimated by occluding contours of projected images of the CAD model from multiple viewing directions and depth images computed with a graphics accelerator. In addition, the model is dynamically updated in a recognition process according to the viewing direction. Localization process is based on multiple hypotheses verification using the model and 3D boundaries reconstructed from stereo images. Experimental results show the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2008 19th International Conference on Pattern Recognition, ICPR 2008
Publication statusPublished - 2008 Dec 1
Event2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
Duration: 2008 Dec 82008 Dec 11

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference2008 19th International Conference on Pattern Recognition, ICPR 2008
CountryUnited States
CityTampa, FL
Period08/12/808/12/11

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Maruyama, K., Kawai, Y., Yoshimi, T., & Tomita, F. (2008). 3D object localization based on occluding contour using STL CAD model. In 2008 19th International Conference on Pattern Recognition, ICPR 2008 [4761593] (Proceedings - International Conference on Pattern Recognition).