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

Kenichi Maruyama; Yoshihiro Kawai; Takashi Yoshimi; Fumiaki Tomita

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 proceeding › Conference contribution

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 language	English
Title of host publication	2008 19th International Conference on Pattern Recognition, ICPR 2008
Publication status	Published - 2008 Dec 1
Externally published	Yes
Event	2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States Duration: 2008 Dec 8 → 2008 Dec 11

Publication series

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

Conference

Conference	2008 19th International Conference on Pattern Recognition, ICPR 2008
Country/Territory	United States
City	Tampa, FL
Period	08/12/8 → 08/12/11

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

3D object localization based on occluding contour using STL CAD model. / Maruyama, Kenichi; Kawai, Yoshihiro; Yoshimi, Takashi et al.

2008 19th International Conference on Pattern Recognition, ICPR 2008. 2008. 4761593 (Proceedings - International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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, 2008 19th International Conference on Pattern Recognition, ICPR 2008, Tampa, FL, United States, 08/12/8.

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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T2 - 2008 19th International Conference on Pattern Recognition, ICPR 2008

Y2 - 8 December 2008 through 11 December 2008

ER -

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

Abstract

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Conference

ASJC Scopus subject areas

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