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Shape-From-Focus by Tensor Voting
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DOI：10.1109/TIP.2012.2190612.png)
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Abstract
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In this correspondence, we address the task of recovering shape-from-focus (SFF) as a perceptual organization problem in 3-D. Using tensor voting, depth hypotheses from different focus operators are validated based on their likelihood to be part of a coherent 3-D surface, thereby exploiting scene geometry and focus information to generate reliable depth estimates. The proposed method is fast and yields significantly better results compared with existing SFF methods.
Keywords:
Focus operators
real-aperture camera
shape-from-focus (SFF)
tensor voting (TV)
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