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Technical Report BU-CS-TR-2001-022 A shorter version of this paper is published in the proceedings of
 

Summary: Technical Report BU-CS-TR-2001-022
A shorter version of this paper is published in the proceedings of
Face and Gesture Recognition, 2002
An Appearance-Based Framework for 3D Hand Shape
Classification and Camera Viewpoint Estimation
Vassilis Athitsos and Stan Sclaroff
Computer Science Department
Boston University
111 Cummington Street
Boston, MA 02215
e-mail fathitsos,sclaroffg@cs.bu.edu
Abstract
An appearance-based framework for 3D hand shape classification and simultane-
ous camera viewpoint estimation is presented. Given an input image of a segmented
hand, the most similar matches from a large database of synthetic hand images are re-
trieved. The ground truth labels of those matches, containing hand shape and camera
viewpoint information, are returned by the system as estimates for the input image.
Database retrieval is done hierarchically, by first quickly rejecting the vast majority of
all database views, and then ranking the remaining candidates in order of similarity
to the input. Four different similarity measures are employed, based on edge location,

  

Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington

 

Collections: Computer Technologies and Information Sciences