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Disparity-Aware Domain Adaptation in Stereo Image Restoration

Computer Vision and Pattern Recognition, 2020
Under stereo settings, the problems of disparity estimation, stereo magnification and stereo-view synthesis have gathered wide attention. However, the limited image quality brings non-negligible difficulties in developing related applications and becomes
Bo Yan   +4 more
semanticscholar   +1 more source

Robust approach for disparity estimation in stereo vision

Image and Vision Computing, 2004
Abstract In this paper, we present a robust probabilistic method for the estimation of stereo disparity. It is based in Bayesian estimation theory, with a prior Markov random field model for the assigned disparities. The optimal estimator is computed using a Gauss-Markov random field model for the corresponding posterior marginals, which results in a
Salvador Gutierrez, Jose L. Marroquin
openaire   +2 more sources

Binocular vision in infancy: Responsiveness to uncrossed horizontal disparity

Infant Behavior and Development, 2016
This research explored the onset of stereopsis, the ability to perceive depth from the different views provided by the two eyes. In a longitudinal study, infants were tested weekly from 6 to 20 weeks of age. The primary goal of the study was to establish the onset and the early development of sensitivity to uncrossed horizontal disparity.
Stephanie Braun, Michael Kavšek
openaire   +3 more sources

Disparities in Access to Medical Care for Individuals with Vision Impairment

Ophthalmic Epidemiology, 2009
We investigated the relationship between blindness and vision impairment and access to medical care.Pooled data from the Medical Expenditure Panel Survey (MEPS) years 2002-2004 were used to identify non-institutionalized individuals over the age of 40 with either self-reported blindness, vision impairment, or no vision impairment (n = 40,643 ...
Kevin D. Frick   +4 more
openaire   +3 more sources

Relative Contribution of Disparity and Convergence to Stereoscopic Vision

Nature, 1955
WRIGHT'S1 apparatus for measuring stereoscopic acuity has been modified to enable the measurements to be extended to wider separation between the tested targets. When operated in the dark, it provided two illuminated circular apertures seen against a black background. The experiments were carried out under two conditions of observation. Under condition
openaire   +3 more sources

Stochastic Approachres to Early Vision: Stereo Disparity

1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990., 2005
rl Ihe various task modules in early vision bear resemblances in processing visual cues. A successful model in one module can be adapted to other modules. In this paper, we investigate the applicability of stochastic models for computing disparity from a pair of images (stereo).
Chienchung Chang, S. Chatterjee
openaire   +2 more sources

Mechanisms of stereoscopic vision: the disparity energy model

Current Opinion in Neurobiology, 1998
The past year has seen significant advances in our understanding of the role played by the primary visual cortex (V1) in stereoscopic vision. Recently, the mechanism by which complex cells in V1 respond to random-dot stereograms has been characterized; it appears that their response properties greatly reduce the complexity of one of the critical links ...
openaire   +3 more sources

Dense disparity features for fast stereo vision

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
A stereo vision algorithm suitable for fast dense stereo matching is proposed. This method extracts areas of uniform disparity or dense disparity features by testing candidate disparity estimates and classifying pixels according to a matching error. By commencing with a rigorous error threshold, pixels of reliable disparity values are identified.
openaire   +3 more sources

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

International Journal of Computer Vision, 2018
The finding that very large networks can be trained efficiently and reliably has led to a paradigm shift in computer vision from engineered solutions to learning formulations.
N. Mayer   +6 more
semanticscholar   +1 more source

Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision

Procedings of the British Machine Vision Conference 2009, 2009
In order to improve the performance of correlation-based disparity computation of stereo vision algorithms, standard methods need to choose in advance the value of the maximum disparity (MD). This value corresponds to the maximum displacement of the projection of a physical point expected between the two images. It generally depends on the motion model,
Nassir Navab   +3 more
openaire   +2 more sources

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