DocumentCode
2657813
Title
Automatic verification of principal contacts using vision
Author
Xiao, Jing ; Su, Mao-kang
Author_Institution
Comput. Sci. Dept., Univ. of North Carolina, Charlotte, NC, USA
fYear
1993
fDate
25-27 Aug 1993
Firstpage
314
Lastpage
319
Abstract
Automatic recognition of unknown contacts among objects provides high-level feedback for a reactive robot system. The recognition mechanism must be online and insensitive to sensing uncertainties. A method is introduced of online using vision to extract more accurate contact information by reducing a set of initial contact hypotheses which are obtained from position/orientation sensing and subject to sensing uncertainties. It is assumed that contacts are among polyhedral objects with known geometric models. Preliminary implementation of the algorithms is discussed with testing results shown
Keywords
computational geometry; object recognition; real-time systems; robot vision; geometric models; image recognition; object contact recognition; polyhedral objects; position/orientation sensing; reactive robot system; robot vision; uncertainty sensing; Computer science; Data mining; Face detection; Feedback; Personal communication networks; Robot sensing systems; Robotic assembly; Robotics and automation; Solid modeling; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
2158-9860
Print_ISBN
0-7803-1206-6
Type
conf
DOI
10.1109/ISIC.1993.397694
Filename
397694
Link To Document