Exposure Map Fusion for Precise 3-D Reconstruction of High Dynamic Range Surfaces

Due to the insufficient dynamic measurement range of cameras, precise 3-D reconstruction of high dynamic range surfaces is a challenging problem for structured light techniques. The existing high dynamic range measurement techniques directly use image intensity for 3-D reconstruction; however, image intensity is affected by intensity saturation and the low signal-to-noise ratio, which degrades the 3-D reconstruction performances. To circumvent the problem, this article presents the exposure map fusion method for precise 3-D reconstruction of high dynamic range surfaces. Different from existing methods that use image intensity, the proposed method uses exposure maps for 3-D reconstruction. The exposure map is proposed to circumvent the problem of intensity saturation caused by the insufficient measurement range of cameras. The frequency component is used to fuse multiple exposure maps to improve the signal-to-noise ratio. To evaluate the performance of the method, experiments are conducted by the proposed exposure map fusion method and the other existing methods to compare the measurement accuracy. The experimental results show that the proposed exposure map fusion method improves the 3-D reconstruction accuracy of high dynamic range surfaces, although the processing time of the proposed method increases due to its computational complexity.

Automated summary

This article proposes an exposure map fusion method for precise 3-D reconstruction of high dynamic range surfaces, which addresses the issues caused by using image intensity for reconstruction. The method improves reconstruction accuracy by using exposure maps and enhances the signal-to-noise ratio through fusing multiple exposure maps.