Exposure algorithm for high-dynamic-range objects structured light reconstruction based on the local homography matrix

In the field of 3D reconstruction technology, the 3D measurement of high-dynamic-range objects has always attracted the attention of many scholars. This paper proposes a exposure algorithm for high-dynamic-range objects structured light reconstruction based on the local homography matrix. By improving the traditional calibration method and introducing the concept of the homography matrix, this method significantly enhances the calibration accuracy, which in turn determines the reconstruction accuracy of high-dynamic-range objects. Then, by utilizing the functional relationship of the camera response curve to analyze the relationship between image pixel values, illumination values, and exposure time, the algorithm automatically calculates the exposure time series for image fusion. Combined with high-precision calibration results for 3D reconstruction, it can effectively restore the lost point cloud information in high-dynamic-range areas, thereby improving the accuracy and adaptability of the reconstruction. Experimental results show that this method greatly reduces the re-projection error, making the error distribution more concentrated. Through 3D reconstruction experiments on high-dynamic-range objects, the effectiveness of the algorithm in this paper is verified, which can solve the problems encountered in traditional 3D reconstruction when dealing with high-dynamic-range objects and greatly improve the level of automation.