Shape-from-focus by tensor voting.
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- Record sourced from PubMed, PMID 22434802.
- Also identified by DOI 10.1109/TIP.2012.2190612.
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Abstract
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.