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

被引：32

作者：

Athitsos, V ^{[1
]}

Sclaroff, S ^{[1
]}

机构：

[1] Boston Univ, Dept Comp Sci, Boston, MA 02215 USA

来源：

FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/AFGR.2002.1004129

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：45 / 50

页数：6

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