BREN: body reflection essence-neuter model for separation of reflection components

3D reconstruction of structured light fields based on point cloud adaptive repair for highly reflective surfaces

In this paper, a novel method, to the best of our knowledge, of structured light fields based on point cloud adaptive repair is proposed to realize 3D reconstruction for highly reflective surfaces. We have designed and built a focused light field camera whose spatial and angular resolution can be flexibly adjusted as required. Then the subaperture image extraction algorithm based on image mosaic is deduced and presented to obtain multidirectional images. After that, the 3D reconstruction of structured light field imaging based on point cloud adaptive repair is presented to accurately reconstruct for highly reflective surfaces. In addition, a method based on smoothness and repair rate is also proposed to objectively evaluate the performance of the 3D reconstruction. Experimental results demonstrate the validity of the proposed method to perform high-quality depth reconstruction for highly reflective surfaces. Generally, our method takes advantage of the multidirectional imaging of the light field camera and can ensure good modulation effect of structured light while avoiding hardware complexity, which makes it application more convenient.

Value probability analysis for linear phase estimation in sinusoidal structured-light range imaging

Linear phase estimation is crucial for accuracy of sinusoidal structured-light range imaging. This Letter presents value probability analysis for a continuously differentiable function and shows that the probability of a value of the function is closely related to the derivative of the function. We apply the value probability analysis to the intensity, phase, and intermediate values in sinusoidal structured light, and we show that the probability adjustment of phase is more effective than those of other values for linear phase estimation. The phase probability adjustment is applied to synthetic and real scenarios of sinusoidal structured-light range imaging to show the effectiveness of the presented analysis and adjustment.