Results 111 to 120 of about 1,867,265 (234)

Asymmetric occlusion detection using linear regression and weight‐based filling for stereo disparity map estimation

open access: yesIET Computer Vision, 2016
Stereo matching computes the disparity information from stereo image pairs. A number of stereo matching methods have been proposed to estimate a fine disparity map.
T. Malathi, M. K. Bhuyan
doaj   +1 more source

Model of Cortical Cell Processing to Estimate Binocular Disparity

open access: yes, 2013
International audienceThe starting point of our work are the physiological and psychophysical studies made on 3D vision, we attempt to build a model of stereoscopic vision.
Guyader, Nathalie   +2 more
core   +1 more source

P1-21: A Study on Stereoanomalies: Comparison of Upper and Lower Visual Field

open access: yesi-Perception, 2012
Stereoanomalies suggest that some people lack disparity detectors or have a disorder of the subsystem associated with stereopsis and consequently fail to perceive correct depth.
Masahiro Ishii
doaj   +1 more source

Стенд для дослідження очисних характеристик коренезбиральних машин [PDF]

open access: yes, 2002
Disparity estimation is a fundamental problem of computer vision. Besides other approaches, disparity estimation from phase information is a quite wide-spread technique.
Солтисюк, В.
core  

An Active System for Visually-Guided Reaching in 3D across Binocular Fixations

open access: yesThe Scientific World Journal, 2014
Based on the importance of relative disparity between objects for accurate hand-eye coordination, this paper presents a biological approach inspired by the cortical neural architecture.
Ester Martinez-Martin   +4 more
doaj   +1 more source

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation

open access: yesIEEE Access, 2017
The most accurate stereo disparity algorithms take dozens or hundreds of seconds to process a single frame. This timescale is impractical for many applications. However, high accuracy is often not needed throughout the scene.
Eric Hunsberger   +3 more
doaj   +1 more source

UDFNet: Unsupervised Disparity Fusion with Adversarial Networks [PDF]

open access: yesarXiv, 2019
Existing disparity fusion methods based on deep learning achieve state-of-the-art performance, but they require ground truth disparity data to train. As far as I know, this is the first time an unsupervised disparity fusion not using ground truth disparity data has been proposed.
arxiv  

Short-term effects of aligning prisms on the objective and subjective fixation disparity in far distance

open access: yesJournal of Eye Movement Research, 2019
Fixation disparity (FD) refers to a suboptimal condition of binocular vision. The oculomotor aspect of FD refers to a misadjustment in the vergence angle between the two visual axes that is measured in research with eye trackers (objective fixation ...
Volkhard Schroth   +3 more
doaj   +1 more source

Stereoscopic Neural Style Transfer [PDF]

open access: yesarXiv, 2018
This paper presents the first attempt at stereoscopic neural style transfer, which responds to the emerging demand for 3D movies or AR/VR. We start with a careful examination of applying existing monocular style transfer methods to left and right views of stereoscopic images separately.
arxiv  

Left-Right Comparative Recurrent Model for Stereo Matching [PDF]

open access: yesarXiv, 2018
Leveraging the disparity information from both left and right views is crucial for stereo disparity estimation. Left-right consistency check is an effective way to enhance the disparity estimation by referring to the information from the opposite view.
arxiv  

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