Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Accurate Recovery of Three-Dimensional Shape from Image Focus
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Observing Shape from Defocused Images
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Three-dimensional shape recovery from focused image surface
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Shape retrieval based on dynamic programming
IEEE Transactions on Image Processing
Noise adaptive soft-switching median filter
IEEE Transactions on Image Processing
Shape from focus using multilayer feedforward neural networks
IEEE Transactions on Image Processing
A heuristic approach for finding best focused shape
IEEE Transactions on Circuits and Systems for Video Technology
Depth Estimation by Finding Best Focused Points Using Line Fitting
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
3D Shape from Focus and Depth Map Computation Using Steerable Filters
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Comparison of polymers: a new application of shape from focus
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
3D shape recovery from image focus using kernel regression in eigenspace
Image and Vision Computing
Noise analysis for depth estimation
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
A novel iterative shape from focus algorithm based on combinatorial optimization
Pattern Recognition
Shape from focus using fast discrete curvelet transform
Pattern Recognition
A Fuzzy-Neural approach for estimation of depth map using focus
Applied Soft Computing
Optimal depth estimation by combining focus measures using genetic programming
Information Sciences: an International Journal
A relational vector space model using an advanced weighting scheme for image retrieval
Information Processing and Management: an International Journal
Comparison of stochastic filtering methods for 3D tracking
Pattern Recognition
Rational filter design for depth from defocus
Pattern Recognition
Analysis of focus measure operators for shape-from-focus
Pattern Recognition
A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth
International Journal of Computer Vision
3D shape from focus using LULU operators and discrete pulse transform in the presence of noise
Journal of Visual Communication and Image Representation
| Hi-index | 0.01 |
Three-dimensional shape recovery from one or multiple observations is a challenging problem of computer vision. In this paper, we present a new Focus Measure for the estimation of a depth map using image focus. This depth map can subsequently be used in techniques and algorithms leading to the recovery of a three-dimensional structure of the object, a requirement of a number of high level vision applications. The proposed Focus Measure has shown robustness in the presence of noise as compared to the earlier Focus Measures. This new Focus Measure is based on an optical transfer function implemented in the Fourier domain. The results of the proposed Focus Measure have shown drastic improvements in estimation of a depth map, with respect to the earlier Focus Measures, in the presence of various types of noise including Gaussian, Shot, and Speckle noises. The results of a range of Focus Measures are compared using root mean square error and correlation metric measures.