Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1611001(2023)
Line Structured Light Binocular Fusion Filling and Reconstruction Technology
This study aimed to resolve the issue of information missing during the reconstruction of complex objects using existing line structured light. Herein, we have examined the mechanism of information incompleteness caused by occlusion along with the relationship between the parameters of the line structured light system and the occlusion incompleteness quantitatively. Furthermore, a new method for cross-complementary reconstruction of long and short baseline structured light is proposed. Based on the binocular line structured light hardware equipment, three sets of line structured light systems are created, which have a binocular long baseline and left and right monocular short baselines, conducting image acquisition and three-dimensional (3D) reconstruction of objects. The reconstruction result integrates the left-eye and right-eye images and binocular reconstruction findings, accomplishing information filling and resolving the problem of information loss effectively while performing 3D reconstructions for objects with complex surfaces using line structured light. The experimental results demonstrate that compared with the traditional binocular structured light, the reconstruction missing threshold of the proposed binocular line structured light fusion reconstruction technology is reduced from 4.28 mm to 2.14 mm, the information reconstruction integrity rate is enhanced from 88% to 92%. And we collected objects such as chargers, boxes, and development boards, moreover, this study shows that up to 94% of the information can be rebuilt. Thus, the proposed binocular line structured light fusion reconstruction technology increases the integrity of information acquisition and expands the application range without altering the hardware of binocular line structured light.
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Boxiao Zhang, Jiahui Yu, Xiaoxue Jiao, Lei Zhang. Line Structured Light Binocular Fusion Filling and Reconstruction Technology[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1611001
Category: Imaging Systems
Received: Aug. 12, 2022
Accepted: Oct. 13, 2022
Published Online: Aug. 18, 2023
The Author Email: Zhang Lei (lzhang@hebeu.edu.cn)