Title :
Stable Matching Between a Hand Structure and an Object Silhouette
Author :
Boissonnat, Jean-Daniel
Author_Institution :
Institut National d´´Informatique et d´´Automatique (INRIA), 78153 Le Chesnay Cédex, France.
Abstract :
A method is proposed which determines the possible ways to grasp an object, defined by its silhouette. This method is quite general and versatile: the geometry of the object is arbitrary and a large class of grippers is allowed; no a priori information is needed, except the parameters of the gripper, and so the method applies, in particular, to all the automatic prehension problems when the object and/or its orientation are unknown. Suitable segmentation and parametrization of the silhouette yields an explicit solution and a very fast and simple algorithm.
Keywords :
Automatic control; Grippers; Information geometry; Machine vision; Robot sensing systems; Robot vision systems; Robotics and automation; Service robots; Shape; Sorting; Automatic prehension; machine vision; robotics; shape description; silhouette;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1982.4767313