Solving Inverse Problems in Computer Vision by Scale Space Reconstruction
نویسندگان
چکیده
Ill-posed inverse problems are widely en countered in computer vision, examples include shape from shading, surface reconstruction from sparse data and optic flow. Unique sol utions to these problems are conventionally found by minimizing an objective function regu larized by a smoothness constraint. However, objective functions of this form often contain many local minima, making it difficult to find an adequate solution by standard numerical
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