Non-isometric surface registration is an important task in computer graphics and computer vision. It, however, remains challenging to deal with noise from scanned data and distortion from transformation. In this paper, we propose a Huber- L1-based non-isometric surface registration and solve it by the alternating direction method of multipliers. With a Huber- L1-regularized model constrained […]
