Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Menu

Links


Learning Similarities for Rigid and Non-Rigid Object Detection (bibtex)
Learning Similarities for Rigid and Non-Rigid Object Detection (bibtex)
by A. Kanezaki, E. Rodola, D. Cremers and T. Harada
Reference:
Learning Similarities for Rigid and Non-Rigid Object Detection (A. Kanezaki, E. Rodola, D. Cremers and T. Harada), In International Conference on 3D Vision (3DV), 2014. 
Bibtex Entry:
@inproceedings{rodola-3dv14,
 author = {A. Kanezaki and E. Rodola and D. Cremers and T. Harada},
 title = {Learning Similarities for Rigid and Non-Rigid Object Detection},
 booktitle = {International Conference on 3D Vision ({3DV})},
 year = {2014},
 titleurl = {rodola-3dv14.pdf},
 topic = {Correspondence, Shape Analysis, Shape Matching, Object Recognition, Machine Learning},
}
Powered by bibtexbrowser
Back to Publications

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

03.04.2022

In April 2022 Jürgen Sturm and Daniel Cremers were featured among the top 6 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

05.12.2021
More