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Summary: 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
email:
athitsos, sclaroffˇ @cs.bu.edu
Abstract
An appearance-based 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-
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