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Recovery of surfaces with discontinuities by fusing shading and range data within a variational framework

机译:通过在可变框架内融合阴影和范围数据来恢复具有不连续性的表面

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摘要

This work provides a variational framework for fusing range and intensity data for recovering regularized surfaces. It is shown that this framework provides natural boundary conditions for the shape-from-shading problem, results in a new shape-from-shading formulation in the absence of range data, and provides a new fusion paradigm when range data is incorporated. The approach is demonstrated on simulated range and intensity images; error analysis with respect to the ground truth surface is presented. It is shown that the formulation performs well even in very noisy images.
机译:这项工作为融合距离和强度数据以恢复规则化表面提供了一个变体框架。结果表明,该框架为阴影形状问题提供了自然的边界条件,在没有距离数据的情况下导致了新的阴影形状公式,并在合并距离数据时提供了新的融合范式。在模拟的距离和强度图像上演示了该方法。提出了关于地面真面的误差分析。结果表明,该制剂即使在非常嘈杂的图像中也表现良好。

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