A color 3D reconstruction method for waste mechanical parts based on improved SGM

Article type: Research Article

Authors: Liu, Dapeng^{; *}

Affiliations: SMU, Singapore Management University, Singapore

Correspondence: [*] Corresponding author. Dapeng Liu, SMU, Singapore Management University, 574045, Singapore. E-mail: dr.dapengliu@ieee.org.

Abstract: In order to improve the remanufacturing efficiency of scrap mechanical parts and comprehensively detect their surface fault status, this paper proposes a color three-dimensional reconstruction method of scrap mechanical parts based on an improved semi-global matching (SGM) algorithm. In experiments, this method demonstrated significant performance advantages in dealing with complex mechanical component structures and large illumination interference environments. Experimental results show that the three-dimensional color model reconstructed by this method has clear texture and small dimensional error, and is suitable for online analysis of surface fault information of scrap mechanical parts in actual production lines. Through quantitative analysis, compared with the traditional SGM method, the method in this paper improves the structural similarity index (SSIM) by an average of 19.8% and reduces the mean square error (MSE) by an average of 33.1%.

Keywords: Waste mechanical parts, binocular vision, SGM, Color 3D reconstruction

DOI: 10.3233/JIFS-237214

Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2024