Summary: An Appearance­Based 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
email: fathitsos, sclaroffg@cs.bu.edu
Abstract
An appearance­based framework for 3D hand shape
classification and simultaneous camera viewpoint estima­
tion is presented. Given an input image of a segmented
hand, the most similar matches from a large database of
synthetic hand images are retrieved. The ground truth la­
bels of those matches, containing hand shape and camera
viewpoint information, are returned by the system as esti­
mates for the input image. Database retrieval is done hi­
erarchically, by first quickly rejecting the vast majority of
all database views, and then ranking the remaining can­
didates in order of similarity to the input. Four different

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

Collections: Computer Technologies and Information Sciences