3D Object Recognition Based on Feature Line Extracting

DOI

10.2991/3ca-13.2013.38How to use a DOI?

Keywords

image processing; feature line extraction; 3D reconstruction; 3D invariant; matching strategy; 3D object recognition

Abstract

For many practical applications in industrial and medical fields, 3D object recognition based on feature extracting has become an actively investigative field. In general, 3D object recognition system can be completed through two stages. Firstly, we use 3D reconstruction of input data to get object expression. Then we use 3D invariant to identify objects. In order to promote further development of this field, this paper summarizes the 3D object recognition technology research, and introduces typical methods of modern 3D object recognition, the concepts of 3D reconstruction, 3D invariants. In the process of 3D object recognition, feature line extraction, 3D invariant calculation, matching strategy, 3D object recognition fields are reviewed. The first section presents the significance of 3D object recognition. The second section presents the development of object recognition. The third section presents the double viewpoint of 3D reconstruction. The fourth section presents the 3D reconstruction of image processing. The fifth section presents the 3D invariant technology. The sixth section presents the problems and development direction.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhijia Zhang
AU  - Boshi Wang
AU  - Wenqiang Li
AU  - Dan Zhang
PY  - 2013/04
DA  - 2013/04
TI  - 3D Object Recognition Based on Feature Line Extracting
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation
PB  - Atlantis Press
SP  - 151
EP  - 154
SN  - 1951-6851
UR  - https://doi.org/10.2991/3ca-13.2013.38
DO  - 10.2991/3ca-13.2013.38
ID  - Zhang2013/04
ER  -