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Robust Focus Volume Regularization in Shape From Focus
IEEE Transactions on Image Processing, 2021Shape from focus (SFF) reconstructs 3D shape of the scene from a sequence of multi-focus images, and the quality of reconstructed shape mainly depends on the accuracy of image focus volume (FV). Traditional SFF techniques exhibit poor performance in preserving structural edges and fine details while removing noisy artifacts, and mostly they do not ...
Usman Ali, Muhammad Tariq Mahmood
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm
S.K. Nayar, Y. Nakagawa
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The shape from focus method presented here uses different focus levels to obtain a sequence of object images. The sum-modified-Laplacian (SML) operator is developed to provide local measures of the quality of image focus. The operator is applied to the image sequence to determine a set of focus measures at each image point. A depth estimation algorithm
S.K. Nayar, Y. Nakagawa
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Sampling for Shape from Focus in Optical Microscopy
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012Shape from focus (SFF), which relies on image focus as a cue within sequenced images, represents a passive technique in recovering object shapes in scenes. Although numerous methods have been recently proposed, less attention has been paid to particular factors affecting them.
Mannan Saeed, Muhammad, Tae-Sun, Choi
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Shape from focus using multilayer feedforward neural networks
IEEE Transactions on Image Processing, 2001The conventional shape-from-focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a scheme for SFF based on representation of three-dimensional (3-D) FIS in terms of neural network weights.
Asif, Muhammad, Choi, Tae-Sun
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Shape-From-Focus by Tensor Voting
IEEE Transactions on Image Processing, 2012In 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 ...
Hariharan, R., Rajagopalan, A. N.
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Shape from focus using fast discrete curvelet transform
Pattern Recognition, 2011A new method for focus measure computation is proposed to reconstruct 3D shape using image sequence acquired under varying focus plane. Adaptive histogram equalization is applied to enhance varying contrast across different image regions for better detection of sharp intensity variations. Fast discrete curvelet transform (FDCT) is employed for enhanced
Rashid Minhas +2 more
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3D reconstruction of gastrointestinal regions using shape-from-focus [PDF]
Fifteenth International Conference on Machine Vision (ICMV 2022), 2023 3D shape reconstruction from images is an active topic in computer vision. Shape-from-Focus (SFF) is an important approach which requires image stack in a focus controlled manner to infer the 3D shape.
Bilal Ahmad, Ivar Farup, Pål A. Floor
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Shape from focus using gradient of focus measure curve
Optics and Lasers in Engineering, 2023Boya Fu +5 more
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