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
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;
Conference_Titel :
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1206-6
DOI :
10.1109/ISIC.1993.397694