A binocular stereo vision packaging dimension measurement algorithm based on improved SURF

Xin Zhou; Zhigang Zhang

doi:10.1117/12.2684265

1 August 2023 A binocular stereo vision packaging dimension measurement algorithm based on improved SURF

Xin Zhou, Zhigang Zhang

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127542T (2023) https://doi.org/10.1117/12.2684265
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

To achieve non-contact automatic measurement of packaging cases in the transportation process of the logistics industry, such as secondary packaging, transshipment, and warehousing, a machine vision dimension measurement system based on binocular stereo vision was proposed. Firstly, the method of combining the SURF algorithm with FREAK descriptor improves the execution efficiency of the algorithm while ensuring the acquisition of better identification feature points; Then, the MISMATCHING feature points are eliminated through the PROSAC mechanism, and the initial disparity map is optimized using bilateral filtering. The spatial information of the measured object is obtained through three-dimensional reconstruction; Finally, a combination of Canny edge detection and Harris corner detection is used to extract the edge information of the object, and the geometric description of the external contour of the target object is obtained through line fitting and calculate the precise size of the measured object through the modified three-dimensional space volume. The experimental results show that this method can effectively identify and describe the shape of various specifications of the measured object, and the measurement error and real-time performance can solve the industrial requirements of the logistics industry.

Citation Download Citation

Xin Zhou and Zhigang Zhang "A binocular stereo vision packaging dimension measurement algorithm based on improved SURF", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127542T (1 August 2023); https://doi.org/10.1117/12.2684265

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
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Imaging systems

Binocular vision

Cameras

3D modeling

Stereo vision systems

3D image processing

Visual process modeling

Keywords/Phrases

Search In:

Publication Years