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Synthetic Ground Truth for Comparison of Gradient Field Integration Methods for Human Faces

This paper investigates a comparison between integration techniques for reconstruction of gradient fields. This is done for the specific case of human faces, where the gradient field is acquired through the Photometric Stereo Method (PSM). A novel synthetic human facial ground truth is designed to test each algorithms performance. The setup of the synthetic data and the integration algorithms are described. Algorithms are compared in terms of accuracy, speed and robustness to noise.