Performance analysis of focus measures in a SFF-inspired approach for sparse scene reconstruction
- Computer Science
Results of performance evaluation of four different focus measures most commonly used in SFF and auto-focus algorithms are presented, carried out based on two different performance evaluation criteria namely root mean square error and computation time.
Performance Analysis of Laplacian based Focus Measures in a Parallax Affected SFF Scenario
- Computer Science
This paper presents significant results of performance evaluation of four different focus measures based on the second order image derivative, the Image Laplacian, carried out under various operating conditions such as different spatial resolution, window size, contrast changes, gray level saturation and camera noise.
Optimizing Image Focus for Shape From Focus Through Locally Weighted Non-Parametric Regression
- MathematicsIEEE Access
A local regression is proposed as a new fitting method for the focus curves, obtained by using one of the focus measure operators, by utilizing the weighted least squares regression as non-parametric regression.
A new focus measure operator for enhancing image focus in 3D shape recovery
- MathematicsMicroscopy research and technique
A new focus measure operator based on the adaptive sum of weighted modified Laplacian, used frequently among various focus measure operators for estimating the focus levels in a sequence of images, is proposed.
All in Focus Image Generation based on New Focusing Measure Operators
Two new focusing measure operators are suggested to be used for SFF and it is shown that the suggested operators’ performances are as analogous to that of ST.
Analyzing Image Focus using Deep Neural Network for 3D Shape Recovery
- Computer Science2019 Second International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT)
Deep Neural Networks (DNN) have been employed to measure the amount of focus in the image stack and the results are compared with commonly used FMs by employing RMSE, Correlation and $Q$ index to establish that the proposed method is not only efficient but more accurate.
Enhancing Shape from Focus-Measure-Fusion and Sparse Representation
- Computer ScienceICVGIP
A novel shape estimation method is proposed which fuses individual shape estimates obtained by multiple focus measures, and reconstructs an improved shape map in a patch-wise manner, within a sparse representation (SR) framework.
Optimal Sampling for Shape from Focus by Using Gaussian Process Regression
- Computer Science2020 IEEE International Conference on Consumer Electronics (ICCE)
A Gaussian process regression method is proposed to get 3D shape from the minimum number of 2D images, which is applied to fit focus curves, which are obtained by applying one of focus measure operators.
Guided image filtering in shape-from-focus: A comparative analysis
- Environmental SciencePattern Recognit.
SHOWING 1-10 OF 88 REFERENCES
Shape from Focus
- Environmental ScienceIEEE Trans. Pattern Anal. Mach. Intell.
The shape from focus method presented here uses different focus levels to obtain a sequence of object images and suggests shape fromfocus to be an effective approach for a variety of challenging visual inspection tasks.
A novel algorithm for estimation of depth map using image focus for 3D shape recovery in the presence of noise
- Computer SciencePattern Recognit.
Shape from Focus through Laplacian Using 3D Window
- Computer Science2008 Second International Conference on Future Generation Communication and Networking
This paper proposes to use 3D windows instead of 2D windows for detecting the high frequency components in the images and shows that the proposed algorithm using 3D window gives better depth map than the previous algorithms using2D windows.
Nonlinear Approach for Enhancement of Image Focus Volume in Shape From Focus
- Computer ScienceIEEE Transactions on Image Processing
This paper suggests the use of iterative 3-D anisotropic nonlinear diffusion filtering (ANDF) to enhance the image focus volume and utilizes the local structure of the focus values to suppress the noise while preserving edges.
Accurate Recovery of Three-Dimensional Shape from Image Focus
- PhysicsIEEE Trans. Pattern Anal. Mach. Intell.
The shape of the FIS is determined by searching for a shape which maximizes a focus measure, which results in more accurate shape recovery than the traditional methods.
Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
- Computer ScienceIEEE Trans. Pattern Anal. Mach. Intell.
A method is described for selecting the optimal focus measure with respect to gray-level noise from a given set of focus measures in passive autofocusing and depth-from-focus applications. The method…
Sampling for Shape from Focus in Optical Microscopy
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine Intelligence
Interframe distance (or sampling step size) criteria for SFF systems have been formulated and light ray focusing is approximated by the use of a Gaussian beam followed by the formulation of a sampling expression using Nyquist sampling, and a fitting function for focus curves is obtained.
Consideration of illumination effects and optimization of window size for accurate calculation of depth map for 3D shape recovery
- Computer SciencePattern Recognit.
3D Shape from Focus and Depth Map Computation Using Steerable Filters
Quantitative and qualitative performance analyses validate enhanced performance of the proposed novel technique to compute SFF and depth map using steerable filters.
Adaptive shape from focus with an error estimation in light microscopy
- Computer ScienceISPA 2001. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In conjunction with 23rd International Conference on Information Technology Interfaces (IEEE Cat.
A new adaptive reconstruction scheme for calculating range images as well as sharp images is presented and a new so called focus measures are introduced and are compared to the classic approaches.