IEEE Trans Image Process - Shape-from-focus by tensor voting.

Tópicos

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Resumo

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.

Resumo Limpo

correspond address task recov shapefromfocus sff perceptu organ problem d use tensor vote depth hypothes differ focus oper valid base likelihood part coher d surfac therebi exploit scene geometri focus inform generat reliabl depth estim propos method fast yield signific better result compar exist sff method

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