Recognition of three dimensional (3D) objects in noisy and cluttered scenes is a challenging problem in 3D computer vision. One approach that has been successful in past research i...
Andrea Frome, Daniel Huber, Ravi Kolluri, Thomas B...
This paper presents a method for matching closed, 2D shapes (2D object silhouettes) that are represented as an ordered collection of shape contexts [1]. Matching is performed using...
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
Abstract. We present a novel shape recognition method based on an algorithm to detect contrasted level lines for extraction, on Shape Context for encoding and on an a contrario app...
In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern base...