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Outdoor 3D reconstruction method based on multi-line laser and binocular vision

Xu Jian, Xin Chen, Wenpeng He, Xuan Gong

Year
2020
Citations
16

Abstract

Three-dimensional (3D) reconstruction of substation fittings is of great significance for live working robots. However, the key problem is that active 3D cameras cannot work in outdoor strong light environment, and the passive 3D cameras cannot extract features of weak texture targets. This paper proposes an outdoor 3D reconstruction method based on multi-line laser and binocular vision. To solve the problem that weak texture target has few features, we use multi-line laser to create artificial features. To reduce the interference of natural light on the laser in the images, the frame-difference method is proposed for natural light filtering. Then we use the gray-centroid method to position the multi-line laser accurately. Finally, the binocular vision model is used to complete 3D reconstruction of the target. The experiments show that, compared with traditional 3D reconstruction methods, our 3D reconstruction method can realize 3D reconstruction of outdoor weak texture targets effectively.

Keywords

Computer visionArtificial intelligenceComputer science3D reconstructionLine (geometry)LaserActive visionFrame (networking)Structured lightLaser pointer

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