Back to articles
3D Image Processing, Measurement (3DIPM), and Applications 2016 Interactive Papers Session
Volume: 28 | Article ID: art00009
Image
Temporal Domain Stereo Matching based on Feature Points for Restriction of Error Propagation
  DOI :  10.2352/ISSN.2470-1173.2016.21.3DIPM-402  Published OnlineFebruary 2016
Abstract

Depth estimation from captured video sequence needs a high time complexity. If we select a large size of window kernel for depth estimation, it will also affect to the computational time. Especially, in case of the depth estimation from sequential images, time complexity is a critical problem. In this paper, we propose a temporal domain stereo matching method for real-time depth estimation. Since the sequential image has a many similar region between neighboring frames, we use that properties for restricting a disparity search range. Even the relationship exists between the neighboring frames, following frame depth estimation result includes a small part of error. Eventually, the propagated error affect to accuracy of estimated depth value. Compensation method of error propagation is proposed based on the feature point in stereo image. Depth values are periodically estimated with maximum disparity search range. Since computing a cost value for all disparity search range needs a high time complexity, we restrict the disparity map renewal frequency. Experiment results show that the proposed depth estimation method in sequential image can derive more accurate depth value than conventional method.

Subject Areas :
Views 31
Downloads 0
 articleview.views 31
 articleview.downloads 0
  Cite this article 

Ji-Hun Mun, Yo-Sung Ho, "Temporal Domain Stereo Matching based on Feature Points for Restriction of Error Propagationin Proc. IS&T Int’l. Symp. on Electronic Imaging: 3D Image Processing, Measurement (3DIPM), and Applications,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.21.3DIPM-402

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology