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Boston University Computer Science Tech. Report No. 2003-010, April 1, 2003. Accepted to the Gesture Workshop, April 2003.
 

Summary: Boston University Computer Science Tech. Report No. 2003-010, April 1, 2003.
Accepted to the Gesture Workshop, April 2003.
Database Indexing Methods for 3D Hand Pose
Estimation
Vassilis Athitsos and Stan Sclaroff
Computer Science Department
Boston University
111 Cummington Street
Boston, MA 02215, USA
{athitsos, sclaroff}@cs.bu.edu
Abstract. Estimation of 3D hand pose is useful in many gesture recog-
nition applications, ranging from human-computer interaction to auto-
mated recognition of sign languages. In this paper, 3D hand pose estima-
tion is treated as a database indexing problem. Given an input image of
a hand, the most similar images in a large database of hand images are
retrieved. The hand pose parameters of the retrieved images are used as
estimates for the hand pose in the input image. Lipschitz embeddings of
edge images into a Euclidean space are used to improve the efficiency of
database retrieval. In order to achieve interactive retrieval times, simi-
larity queries are initially performed in this Euclidean space. The paper

  

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

 

Collections: Computer Technologies and Information Sciences