Consideration of illumination effects and optimization of window size for accurate calculation of depth map for 3D shape recovery

DOI10.1016/j.patcog.2006.05.032zbMath1103.68773OpenAlexW2042018756MaRDI QIDQ853114

Aamir Saeed Malik, Tae-Sun Choi

Publication date: 15 November 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.05.032

zbMATH Keywords

blurringdepth map3D shape recoveryadaptive histogram enhancementfocus measuresgray-level varianceillumination problemsshape from focus (SFF)sum of modified Laplacianwindow size

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (5)

Pixel-wise parallel calculation for depth from focus with adaptive focus measure ⋮ All in focus fusion using guided filter ⋮ A novel algorithm for estimation of depth map using image focus for 3D shape recovery in the presence of noise ⋮ A novel iterative shape from focus algorithm based on combinatorial optimization ⋮ 3D shape recovery by aggregating 3D wavelet transform-based image focus volumes through 3D weighted least squares

Cites Work

• Shape from focus using multilayer feedforward neural networks
• Unnamed Item

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