An appearance-based framework for 3D hand shape classification and camera viewpoint estimation

Author

Athitsos, Vassilis ; Sclaroff, Stan

Author_Institution

Dept. of Comput. Sci., Boston Univ., MA, USA

fYear

2002

Firstpage

40

Lastpage

45

Abstract

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, respectively

Keywords

cameras; computer vision; edge detection; geometry; image classification; image matching; image retrieval; image segmentation; sorting; visual databases; 3D hand shape classification; appearance-based framework; camera viewpoint estimation; database view ranking; edge location; edge orientation; finger location; geometric moments; ground-truth labels; hierarchical image retrieval; image matching; segmented hand image; similarity measures; similarity order; synthetic hand image database; Application software; Cameras; Computer science; Humans; Image databases; Information retrieval; Rendering (computer graphics); Shape measurement; Spatial databases; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7695-1602-5

Type

conf

DOI

10.1109/AFGR.2002.1004129

Filename

1004129