A credible depth estimation method based on superpixel constraint matching

Chao Zhang; Yunxiu Zhao; Cheng Han; Ye Bai

doi:10.1117/12.2502906

9 August 2018 A credible depth estimation method based on superpixel constraint matching

Chao Zhang, Yunxiu Zhao, Cheng Han, Ye Bai

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080605 (2018) https://doi.org/10.1117/12.2502906
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

In order to reduce the errors in depth estimation, a credible depth estimation method based on superpixel constraint matching is proposed. It consists of normalized binocular image disparity optimization, credible granularity region segmentation and similarity measure of granularity region. This method segments the normalized binocular images finely by using the superpixel granulation method, and divides the binocular image into a large number of excellent granularity regions. To get the best match for each granularity partitioned, the correlative matching area is obtained by polar line constraint matching. And then the matching similarity measure function is used to achieve the best superpixel granularity regional matching results in binocular images, so as to find the two-dimensional correspondence of each granularity region. Finally, realize the depth information estimation of binocular parallax images. The experimental results show that this method can obviously reduce the errors of depth estimation in traditional methods.

Citation Download Citation

Chao Zhang, Yunxiu Zhao, Cheng Han, and Ye Bai "A credible depth estimation method based on superpixel constraint matching", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080605 (9 August 2018); https://doi.org/10.1117/12.2502906

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Calibration

Image fusion

Visualization

Composites

Image processing

Matrices

Show All Keywords

Keywords/Phrases

Search In:

Publication Years