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Shape-From-Focus by Tensor Voting

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2 Author(s)
Hariharan, R. ; Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India ; Rajagopalan, A.N.

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.

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Image Processing, IEEE Transactions on  (Volume:21 ,  Issue: 7 )