Shape From Focus by Total Variation

Usually, in Shape From Focus (SFF) methods, a single focus measure is applied on an image sequence to obtain an initial depth map and then an approximation technique is used to recover three-dimensional (3D) shape of an object. However, different focus measures perform differently in diverse conditi...

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Published inIVMSP 2013 pp. 1 - 4
Main Author Mahmood, Muhammad Tariq
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
3D shape recovery
Cameras
Depth map
Focus Measure
Image sequences
Matrix decomposition
Shape
Shape from Focus
Shape measurement
Three-dimensional displays
Total Variation
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Abstract Usually, in Shape From Focus (SFF) methods, a single focus measure is applied on an image sequence to obtain an initial depth map and then an approximation technique is used to recover three-dimensional (3D) shape of an object. However, different focus measures perform differently in diverse conditions and it is hard to get accurate 3D shape based on a single focus measure. In this paper, we propose a nonlinear Total Variation (TV) based method for recovering 3D shape of an object by diffusing several initial depth maps obtained through different focus measures. Several experiments have been conducted using images of synthetic and real objects to evaluate the performance of the proposed method. Comparative analysis demonstrates of the effectiveness of the proposed approach.
AbstractList Usually, in Shape From Focus (SFF) methods, a single focus measure is applied on an image sequence to obtain an initial depth map and then an approximation technique is used to recover three-dimensional (3D) shape of an object. However, different focus measures perform differently in diverse conditions and it is hard to get accurate 3D shape based on a single focus measure. In this paper, we propose a nonlinear Total Variation (TV) based method for recovering 3D shape of an object by diffusing several initial depth maps obtained through different focus measures. Several experiments have been conducted using images of synthetic and real objects to evaluate the performance of the proposed method. Comparative analysis demonstrates of the effectiveness of the proposed approach.
Author Mahmood, Muhammad Tariq
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Snippet Usually, in Shape From Focus (SFF) methods, a single focus measure is applied on an image sequence to obtain an initial depth map and then an approximation...
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SubjectTerms 3D shape recovery
Cameras
Depth map
Focus Measure
Image sequences
Matrix decomposition
Shape
Shape from Focus
Shape measurement
Three-dimensional displays
Total Variation
Title Shape From Focus by Total Variation
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