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.
Cite
Text
Sumi et al. "Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710789Markdown
[Sumi et al. "Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/sumi1998iccv-recognition/) doi:10.1109/ICCV.1998.710789BibTeX
@inproceedings{sumi1998iccv-recognition,
title = {{Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision}},
author = {Sumi, Yasushi and Kawai, Yoshihiro and Yoshimi, Takashi and Tomita, Fumiaki},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {668-674},
doi = {10.1109/ICCV.1998.710789},
url = {https://mlanthology.org/iccv/1998/sumi1998iccv-recognition/}
}