CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11338 > Article
Paper
18 December 2019 Research on feature extraction and matching algorithm based on speckle structured light binocular vision system
Fan Yang, Sihua Fu
Author Affiliations +
Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 1133839 (2019) https://doi.org/10.1117/12.2547969
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
Binocular stereo vision combined with structured light technology has developed rapidly in recent years. We have studied the blob extraction and matching algorithm of randomly distributed infrared speckle structured light, proposed an improved blob detection algorithm based on Laplacian of Gaussian (LoG) operator, which combines the contrast of the blob, the intensity difference and statistics between the center and edge pixels of the blob. The improved blob detection algorithm can extract the blobs of various scales and brightness effectively at one time, and restrain the influence of edges, bright strips and corners. According to the randomness of projected dot distribution, a matching method based on the characteristics of surrounding blob distribution is proposed. In order to solve the correspondence problem, we attach a descriptor to each blob. The descriptor at a reference blob center captures the angle and distance of the remaining blobs relative to it. In a small local region, the corresponding point sets in the two images are approximately affine transformed, and the transformed point sets have similar descriptive values. Experiments show the feasibility and correctness of this improved blob detection algorithm and matching method.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Fan Yang and Sihua Fu "Research on feature extraction and matching algorithm based on speckle structured light binocular vision system", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 1133839 (18 December 2019); https://doi.org/10.1117/12.2547969
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Blob detection
Detection and tracking algorithms
Feature extraction
Structured light
Speckle
Sensors
Stereo vision systems
RELATED CONTENT
Automated procedure for registering SAR and optical imagery based on...
Proceedings of SPIE (December 17 1996)
Pipelined algorithm and parallel architecture for real time detection of...
Proceedings of SPIE (October 29 1997)
Generalized algebraic algorithm for scene-based nonuniformity correction
Proceedings of SPIE (November 04 2004)
Validation of infrared cloud detection algorithms developed for TACNEPH
Proceedings of SPIE (September 15 1993)
Line extraction in SAR images
Proceedings of SPIE (June 11 2003)
ATR Systems: A Northrop Perspective
Proceedings of SPIE (September 20 1987)
Target recognition and tracking in an infrared system
Proceedings of SPIE (August 21 2001)
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top