Add to ORKGAbstract: The method of the estimation of the mean disparity of stereo images is considered. The method is based on the comparison of the Laplacian-Gaussian convolutions of the intensity arrays.Note: Research direction:Mathematical modelling in actual problems of science and technic
In this work, the phase-difference-based technique for disparity estimation in stereo vision is form...
AbstractWe propose an effective method for disparity map generation for a image using a resolution c...
This paper explores various ways by which pixel disparities along epipolar rows of a stereo image pa...
Disparity information has a great interest in different application fields such as view synthesis, 3...
This paper presents a passive method to calculate the dis-parity of stereoscopic images. A probabili...
This work is about artificial stereoscopic vision systems (as opposed to those found in nature). Ste...
Abstract The field of computer vision is still open to generate 3D images (depth) using stereo image...
An interesting practical and theoretical problem is putting bounds on how much computation one needs...
Dense stereo is a well studied problem in computer vision. Generally dense stereo algorithms provide...
Abstract—This paper deals with disparity estimation and the reconstruction of intermediate views fro...
<p>Disparity estimation results of methods in Section 2.2 on the stereo plant image. The colour bar ...
The paper presents algorithms to estimate the horizontal disparities in a pair of stereo images, usi...
The master thesis focuses on disparity map estimation using convolutional neural network. It discuss...
This paper presents an approach for stereo image matching that results in a dense and non-smooth dis...
Binocular disparity is an important cue for the human visual system to recognize spatial layout, bot...
In this work, the phase-difference-based technique for disparity estimation in stereo vision is form...
AbstractWe propose an effective method for disparity map generation for a image using a resolution c...
This paper explores various ways by which pixel disparities along epipolar rows of a stereo image pa...
Disparity information has a great interest in different application fields such as view synthesis, 3...
This paper presents a passive method to calculate the dis-parity of stereoscopic images. A probabili...
This work is about artificial stereoscopic vision systems (as opposed to those found in nature). Ste...
Abstract The field of computer vision is still open to generate 3D images (depth) using stereo image...
An interesting practical and theoretical problem is putting bounds on how much computation one needs...
Dense stereo is a well studied problem in computer vision. Generally dense stereo algorithms provide...
Abstract—This paper deals with disparity estimation and the reconstruction of intermediate views fro...
<p>Disparity estimation results of methods in Section 2.2 on the stereo plant image. The colour bar ...
The paper presents algorithms to estimate the horizontal disparities in a pair of stereo images, usi...
The master thesis focuses on disparity map estimation using convolutional neural network. It discuss...
This paper presents an approach for stereo image matching that results in a dense and non-smooth dis...
Binocular disparity is an important cue for the human visual system to recognize spatial layout, bot...
In this work, the phase-difference-based technique for disparity estimation in stereo vision is form...
AbstractWe propose an effective method for disparity map generation for a image using a resolution c...
This paper explores various ways by which pixel disparities along epipolar rows of a stereo image pa...