An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation


Autoria(s): Athitsos, Vassilis; Sclaroff, Stan
Data(s)

20/10/2011

20/10/2011

2001

Resumo

An appearance-based framework for 3D hand shape classification and simultaneous 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 retrieved. 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, edge orientation, finger location and geometric moments.

National Science Foundation (IIS-9912573, EIA-9809340)

Identificador

http://hdl.handle.net/2144/1643

Idioma(s)

en_US

Publicador

Boston University Computer Science Department

Relação

BUCS Technical Reports;BUCS-TR-2001-022

Tipo

Technical Report