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Disparity-Aware Domain Adaptation in Stereo Image Restoration
Computer Vision and Pattern Recognition, 2020Under 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
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Robust approach for disparity estimation in stereo vision
Image and Vision Computing, 2004Abstract 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
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Binocular vision in infancy: Responsiveness to uncrossed horizontal disparity
Infant Behavior and Development, 2016This 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
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Disparities in Access to Medical Care for Individuals with Vision Impairment
Ophthalmic Epidemiology, 2009We 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
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Relative Contribution of Disparity and Convergence to Stereoscopic Vision
Nature, 1955WRIGHT'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
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Stochastic Approachres to Early Vision: Stereo Disparity
1990 Conference Record Twenty-Fourth Asilomar Conference on Signals, Systems and Computers, 1990., 2005rl 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
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Mechanisms of stereoscopic vision: the disparity energy model
Current Opinion in Neurobiology, 1998The 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 ...
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Dense disparity features for fast stereo vision
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011A 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.
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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
International Journal of Computer Vision, 2018The 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
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Efficient Disparity Computation without Maximum Disparity for Real-Time Stereo Vision
Procedings of the British Machine Vision Conference 2009, 2009In 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
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