Results 141 to 150 of about 8,721,507 (209)

Measuring Focus Quality in Vector Valued Images for Shape from Focus

International Conference on Pattern Recognition, 2022
In shape from focus (SFF) methods, the focus measure (FM) operator plays a key role in determining the ultimate shape of the object. Usually, vector-valued (color) images are converted into grayscale images before applying the FM operator.
M. Mahmood, Usman Ali
semanticscholar   +1 more source

Depth enhancement through correlation‐based guided filtering in shape from focus

Microscopy research and technique (Print), 2021
Mostly, shape‐from‐focus (SFF) techniques do not consider any guidance or prior information from the input image sequence while improving the depth information.
Usman Ali, M. Mahmood
semanticscholar   +1 more source

Shape-From-Focus by Tensor Voting

IEEE Transactions on Image Processing, 2012
In 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.
openaire   +2 more sources

Depth coded shape from focus

2012 IEEE International Conference on Computational Photography (ICCP), 2012
We present a novel shape from focus method for high-speed shape reconstruction in optical microscopy. While the traditional shape from focus approach heavily depends on the presence of surface texture, and requires a considerable amount of measurement time, our method is able to perform 3D reconstruction from only two images.
Martin Lenz, David Ferstl, Matthias Ruther, Horst Bischof   +3 more
openaire   +1 more source

Dealing With Parallax in Shape-From-Focus

IEEE Transactions on Image Processing, 2011
We propose a new method that extends the capability of shape-from-focus (SFF) to estimate the depth profile of 3-D objects in the presence of structure-dependent pixel motion. Existing SFF techniques work under the constraint that there is no parallax in the captured stack of frames.
Rajiv Ranjan, Sahay, A N, Rajagopalan
openaire   +2 more sources

Improving Shape From Focus Using Defocus Cue

IEEE Transactions on Image Processing, 2007
The shape-from-focus (SFF) method uses a sequence of frames to estimate the structure of a 3-D object. Its accuracy depends on the step size by which the translational table is moved while capturing the images. Existing SFF algorithms use an ad hoc interpolation strategy to account for the error due to the finite step size.
K S, Pradeep, A N, Rajagopalan
openaire   +2 more sources

SAS: A General Framework Induced by Sequence Association for Shape From Focus

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from focus (SFF) is a technique used to estimate the depth of a scene from a sequence of multifocus images. Existing SFF methods can be categorized into two groups: traditional methods and deep learning-based methods.
Tao Yan, Yuhua Qian, Jiangfeng Zhang, Jieting Wang, Jiye Liang   +4 more
semanticscholar   +1 more source

Shape-from-focus reconstruction using nonlocal matting Laplacian prior followed by MRF-based refinement

Pattern Recognition, 2020
In this paper, we address the problem of depth recovery from a sequence of multi-focus images, known as shape-from-focus (SFF). The conventional SFF techniques typically exhibit poor performance over textureless regions, and it is difficult to preserve ...
Zhiqiang Ma, Dongjoon Kim, Yeong-Gil Shin   +2 more
semanticscholar   +1 more source

A simplified approach using deep neural network for fast and accurate shape from focus

Microscopy research and technique (Print), 2020
Three‐dimensional shape recovery is an important issue in the field of computer vision. Shape from Focus (SFF) is one of the passive techniques that uses focus information to estimate the three‐dimensional shape of an object in the scene.
Husna Mutahira, Mannan Saeed Muhammad, Mikhail Li, D. Shin   +3 more
semanticscholar   +1 more source

Shape from focus system

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
A shape-from-focus method that uses different focus levels to obtain a sequence of object images is described. A sum-modified-Laplacian operator is developed to provide local measures of the quality of image focus. The operator is applied to the sequence of images of the object to determine a set of focus measures as each image point.
openaire   +1 more source