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

Y. Sumi; Y. Kawai; T. Yoshimi; F. Tomita

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

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

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	668-674
Number of pages	7
Publication status	Published - 1998 Dec 1
Externally published	Yes
Event	Proceedings of the 1998 IEEE 6th International Conference on Computer Vision - Bombay, India Duration: 1998 Jan 4 → 1998 Jan 7

Other

Other	Proceedings of the 1998 IEEE 6th International Conference on Computer Vision
City	Bombay, India
Period	98/1/4 → 98/1/7

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Cite this

@conference{a0ab69d150da4d78a38e0e070bc388cd,

title = "Recognition of 3D free-form objects using segment-based stereo vision",

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.",

author = "Y. Sumi and Y. Kawai and T. Yoshimi and F. Tomita",

year = "1998",

month = dec,

day = "1",

language = "English",

pages = "668--674",

note = "Proceedings of the 1998 IEEE 6th International Conference on Computer Vision ; Conference date: 04-01-1998 Through 07-01-1998",

}

TY - CONF

T1 - Recognition of 3D free-form objects using segment-based stereo vision

AU - Sumi, Y.

AU - Kawai, Y.

AU - Yoshimi, T.

AU - Tomita, F.

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0032310473&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032310473&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0032310473

SP - 668

EP - 674

T2 - Proceedings of the 1998 IEEE 6th International Conference on Computer Vision

Y2 - 4 January 1998 through 7 January 1998

ER -

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

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this