Regular Articles

Monocular three-dimensional human pose estimation using local-topology preserved sparse retrieval

[+] Author Affiliations
Jialin Yu, Jifeng Sun, Zhiguo Song, Shaoyin Zheng, Bingtian Wei

South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China

J. Electron. Imaging. 26(3), 033008 (May 13, 2017). doi:10.1117/1.JEI.26.3.033008
History: Received February 17, 2017; Accepted April 19, 2017
Text Size: A A A

Abstract.  Estimating three-dimensional (3-D) pose from a single image is usually performed by retrieving pose candidates with two-dimensional (2-D) features. However, pose retrieval usually relies on the acquisition of sufficient labeled data and suffers from low retrieving accuracy. Acquiring a large amount of unconstrained 2-D images annotated with 3-D poses is difficult. To solve these issues, we propose a coupled-source framework that integrates two independent training sources. The first source contains only 3-D poses, and the second source contains images annotated with 2-D poses. For accurate retrieval, we present a local-topology preserved sparse coding (LTPSC) to generate pose candidates, where the estimated 2-D pose of a test image is regarded as features for pose retrieval and represented as a sparse combination of features in the exemplar database. Our LTPSC can ensure that the semantically similar poses are retrieved with larger probabilities. Extensive experiments validate the effectiveness of our method.

Figures in this Article
© 2017 SPIE and IS&T

Citation

Jialin Yu ; Jifeng Sun ; Zhiguo Song ; Shaoyin Zheng and Bingtian Wei
"Monocular three-dimensional human pose estimation using local-topology preserved sparse retrieval", J. Electron. Imaging. 26(3), 033008 (May 13, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.3.033008


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.