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An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation
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@MISC{_anappearance-based,
author = {},
title = {An Appearance-Based Framework for 3D Hand Shape Classification and Camera Viewpoint Estimation},
year = {}
}
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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. 1
Keyphrases
appearance-based framework hand shape classification camera viewpoint estimation input image camera viewpoint information synthetic hand image finger location edge location similar match geometric moment database retrieval hand shape ground truth label edge orientation vast majority different similarity measure database view simultaneous camera viewpoint estimation segmented hand large database
