Measurement Research Based on Stereo Vision Fusion

Abstract

Traditional two-dimensional vision only has basic pixel information and no depth information, while three-dimensional vision has depth information, which has high application value in the era of intelligence. The mainstream methods for obtaining depth information of objects include binocular stereo matching and TOF (Time of flight) cameras. The depth obtained by binocular stereo matching is with high precision in high-texture objects but with low precision in low-texture and repeated-texture objects, while the precision of depth obtained by TOF is the exact opposite. By combining binocular stereo matching and TOF, high-precision depth maps can be obtained in various scenarios. This paper proposes a new method of combining binocular stereo matching and TOF technology. The credible depth information is obtained through TOF to guide the stereo matching of the binocular camera, and then the information obtained after the guided matching is fused with the TOF information. The final fusion result is a high-precision depth map. The experimental results show that the fused depth map has higher accuracy and the execution speed within a reasonable range.