3D temperature distribution model based on vision method

This paper studies the construction of 3D temperature distribution reconstruction system based on the binocular visual technology. First of all, since the thermal infrared camera is only sensitive to temperature, the traditional calibration method cannot be directly used in it. Therefore, the paper designs a thermal infrared camera calibration board to complete the calibration of the thermal infrared camera. Then, in terms of stereo matching, it further studies the traditional belief propagation algorithm and improves its smooth model, so as to optimize the mismatching rate greatly. Finally, in terms of the 3D model construction, it constructs the corresponding relationship between the points on the 3D model and the pixels on the temperature images based on the known thermal infrared camera and the space position information of the visible light camera and maps the temperature information to the 3D model. Experimental results show that the method can accurately construct the 3D temperature distribution model and the model has strong robustness.