Viewpoint detection models for sequential embodied object category recognition

David Meger, Ankur Gupta, James J Little
2010 2010 IEEE International Conference on Robotics and Automation  
This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning. We have examined such models for several state-of-the-art object detection methods. Our learning procedure has been evaluated using an exhaustive multiview category database recently collected for multiview category recognition research. Our approach has been evaluated on a simulator that is based on real images that have
more » ... usly been collected. Simulation results verify that our viewpoint planning approach requires fewer viewpoints for confident recognition. Finally, we illustrate the applicability of our method as a component of a completely autonomous visual recognition platform that has previously been demonstrated in an object category recognition competition.
doi:10.1109/robot.2010.5509703 dblp:conf/icra/MegerGL10 fatcat:xkeoqjzmbfdrjaby3urlzr34p4