Detection and Recognition of Compound 3D Models by Hypothesis Generation

Artur Wilkowski , Maciej Stefańczyk


In the paper there is proposed an integrated object detection and recognition system, based on object description given in semantic form [5]. The objects are described in a generic way in terms of parts and relations between them. The Bayesian inference system is utilized, so each object detection and recognition score has probabilistic interpretation. There are designed basic 3D models founded on the inference framework. Object instances are then detected and recognized in real-world Kinect RGBD images.
Author Artur Wilkowski KGAG - [Państwowy Instytut Automatyki Przemysłowej (Mera-PIAP)]
Artur Wilkowski,,
- Chair of Geodesy and Geodetic Astronomy
- Państwowy Instytut Automatyki Przemysłowej
, Maciej Stefańczyk IAiIS
Maciej Stefańczyk,,
- The Institute of Control and Computation Engineering
Publication size in sheets0.5
Book Szewczyk Roman, Kaliczyńska Małgorzata, Zieliński Cezary: Challenges in Automation, Robotics and Measurement Techniques. Proceedings of AUTOMATION-2016, March 2-4, 2016, Warsaw, Poland, Advances in Intelligent Systems and Computing, vol. 440, 2016, Springer International Publishing, ISBN 978-3-319-29356-1, [978-3-319-29357-8], 919 p., DOI:10.1007/978-3-319-29357-8
Keywords in English3-D objects recognition Point cloud RGBD image analysis Constraint satisfaction
projectRobREx: Autonomy for rescue and exploration robots. Project leader: Zieliński Cezary, , Phone: 5102, start date 12-12-2012, end date 30-11-2015, 513/1031, Completed
WEiTI Projects financed by NCRD [Projekty finansowane przez NCBiR (NCBR)]
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 27-03-2017, BookChapterSeriesAndMatConf
Citation count*2 (2018-06-19)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.