NDLI: 3D hand skeleton model estimation from a depth image

Content Provider	IEEE Xplore Digital Library
Author	Chin-Yun Fan Meng-Hsuan Lin Te-Feng Su Shang-Hong Lai Chih-Hsiang Yu
Copyright Year	2015
Description	Author affiliation: Inst. of ISA, Nat. Tsing Hua Univ., Hsinchu, Taiwan (Chin-Yun Fan; Meng-Hsuan Lin) \|\| Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Te-Feng Su; Shang-Hong Lai) \|\| Ind. Technol. Res. Inst., Chutung, Taiwan (Chih-Hsiang Yu)
Abstract	In this paper, we present an algorithm for estimating 3D hand skeleton model from a single depth image based on the Active Shape Model framework. We first collect a large amount of training depth images, representing all articulated hand shape variations, and a set of hand joint points are labeled on these depth images. To accommodate the wide variations of hand articulations, we represent the hand skeleton model with multiple PCA models that are learned from the training data. In the search stage, we iteratively compute the translation and rotation from the hand depth information and fit the 3D hand skeleton model with the multiple PCA models. In addition, we modify the model fitting procedure to handle the partial occlusion problem when only some fingers are visible. In our experiments, we demonstrate the proposed algorithm on our hand depth image datasets to show the effectiveness and robustness of the proposed algorithm.
Starting Page	489
Ending Page	492
File Size	503034
Page Count	4
File Format	PDF
ISBN	9784901122146
DOI	10.1109/MVA.2015.7153237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	MVA organization
Subject Keyword	Solid modeling Three-dimensional displays Shape Computational modeling Estimation Joints
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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