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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-Noise Modeling & Removal in Shape From Focus Systems Through Kalman Filter
Shape from Focus (SFF) is one of the passive techniques to recover the shape of an object under consideration. It utilizes the focus cue present in the stack of images, obtained by a single camera.
Husna Mutahira +3 more
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Reliability measure for shape-from-focus [PDF]
Shape-from-focus (SFF) is a passive technique widely used in image processing for obtaining depth-maps. This technique is attractive since it only requires a single monocular camera with focus control, thus avoiding correspondence problems typically found in stereo, as well as more expensive capturing devices.
Pertuz, Said +2 more
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Wafer Surface Reconstruction Based on Shape From Focus
Scanning electron microscope, atomic force microscope and other equipment play an important role in the fields of topography restoration and detection. However, these devices are generally used in nanometer-scale measurement scenarios.
Shaohang Wang +3 more
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Mathematical Principles of Object 3D Reconstruction by Shape-from-Focus Methods
Shape-from-Focus (SFF) methods have been developed for about twenty years. They able to obtain the shape of 3D objects from a series of partially focused images. The plane to which the microscope or camera is focused intersects the 3D object in a contour
Dalibor Martišek, Karel Mikulášek
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Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression
Shape from focus is a passive optical technique that uses multiple images with different focus levels. To compute the sharpness of each pixel in the image sequence, obtained by translating the object plane at a constant step size along the optical axis ...
Hoon-Seok Jang +2 more
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Sampling Based on Kalman Filter for Shape from Focus in the Presence of Noise
Recovering three-dimensional (3D) shape of an object from two-dimensional (2D) information is one of the major domains of computer vision applications. Shape from Focus (SFF) is a passive optical technique that reconstructs 3D shape of an object using 2D
Hoon-Seok Jang +3 more
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An Efficient Neural Network for Shape from Focus with Weight Passing Method
In this paper, we suggest an efficient neural network model for shape from focus along with weight passing (WP) method. The neural network model is simplified by reducing the input data dimensions and eliminating the redundancies in the conventional ...
Hyo-Jong Kim +2 more
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Three-dimensional (3D) shape reconstruction from one or multiple observations is a primary problem of computer vision. Shape from Focus (SFF) is a passive optical method that uses multiple two-dimensional (2D) images with different focus levels.
Hoon-Seok Jang +2 more
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Volumetric Tooth Wear Measurement of Scraper Conveyor Sprocket Using Shape from Focus-Based Method
Volumetric tooth wear measurement is important to assess the life of scraper conveyor sprocket. A shape from focus-based method is used to measure scraper conveyor sprocket tooth wear.
Hua Ding, Yinchuan Liu, Jiancheng Liu
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