Due to the insufficient dynamic measurement range of cameras, precise three-dimensional (3D) 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 3D reconstruction; however, image intensity is affected by intensity saturation and the low signal-to-noise ratio, which degrades the 3D reconstruction performances. To circumvent the problem, this paper presents the exposure map fusion method for precise 3D reconstruction of high dynamic range surfaces. Different from existing methods that use image intensity, the proposed method uses exposure maps for 3D 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 measurement accuracy. The experimental results show that the proposed exposure map fusion method improves the 3D reconstruction accuracy of high dynamic range surfaces, although the processing time of the proposed method increases due to its computational complexity.