3D Hand Pose Estimation by Finding Appearance-Based Matches in a Large Database of Training Views


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

20/10/2011

20/10/2011

2001

Resumo

Ongoing work towards appearance-based 3D hand pose estimation from a single image is presented. A large database of synthetic hand views is generated using a 3D hand model and computer graphics. The views display different hand shapes as seen from arbitrary viewpoints. Each synthetic view is automatically labeled with parameters describing its hand shape and viewing parameters. Given an input image, the system retrieves the most similar database views, and uses the shape and viewing parameters of those views as candidate estimates for the parameters of the input image. Preliminary results are presented, in which appearance-based similarity is defined in terms of the chamfer distance between edge images.

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

Identificador

http://hdl.handle.net/2144/1642

Idioma(s)

en_US

Publicador

Boston University Computer Science Department

Relação

BUCS Technical Reports;BUCS-TR-2001-021

Tipo

Technical Report