Results 21 to 30 of about 1,867,265 (234)

Self-Supervised Monocular Depth Estimation With Self-Reference Distillation and Disparity Offset Refinement [PDF]

open access: yesIEEE transactions on circuits and systems for video technology (Print), 2023
Monocular depth estimation plays a fundamental role in computer vision. Due to the costly acquisition of depth ground truth, self-supervised methods that leverage adjacent frames to establish a supervision signal have emerged as the most promising ...
Zhong Liu   +4 more
semanticscholar   +1 more source

Playing stereoscopic video games enhances the precision but not the accuracy of depth perception. [PDF]

open access: yesSci Rep
Playing three-dimensional (3D) video games enhances stereo acuity (i.e., the precision of stereopsis) in young adults with normal vision Here we asked whether the improvement in stereoacuity was the result of a reduced disparity pedestal, as indicated by
Li RW, Li BZ, Chat SW, Levi DM.
europepmc   +2 more sources

A Comparison and Evaluation of Stereo Matching on Active Stereo Images

open access: yesSensors, 2022
The relationship between the disparity and depth information of corresponding pixels is inversely proportional. Thus, in order to accurately estimate depth from stereo vision, it is important to obtain accurate disparity maps, which encode the difference
Mingyu Jang   +4 more
doaj   +1 more source

Five-Direction Occlusion Filling with Five Layer Parallel Two-Stage Pipeline for Stereo Matching with Sub-Pixel Disparity Map Estimation

open access: yesSensors, 2022
Binocular stereoscopic matching is an essential method in computer vision, imitating human binocular technology to obtain distance information. Among plentiful stereo matching algorithms, Semi-Global Matching (SGM) is recognized as one of the most ...
Yunhao Ma   +5 more
doaj   +1 more source

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
A key goal for the advancement of AI is to develop technologies that serve the needs not just of one group but of all communities regardless of their geographical re-gion.
Da Yin   +4 more
semanticscholar   +1 more source

Global burden and gender disparity of vision loss associated with diabetes retinopathy

open access: yesActa ophthalmologica, 2020
To assess the trend patterns and gender disparity in global burden of vision loss due to diabetic retinopathy (DR) by year, age, region and socioeconomic status using prevalence and years lived with disability (YLDs) from Global Burden of Disease (GBD ...
Yufeng Xu   +7 more
semanticscholar   +1 more source

Socio‐economic disparity in global burden of near vision loss: an analysis for 2017 with time trends since 1990

open access: yesActa ophthalmologica, 2020
To investigate the socio‐economic disparity in global burden of near vision loss by disability‐adjusted life‐years (DALYs).
Yijie Wang   +4 more
semanticscholar   +1 more source

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Large multi-modal models (LMMs) hold the potential to usher in a new era of automated visual assistance for people who are blind or low vision (BLV). Yet, these models have not been systematically evaluated on data captured by BLV users.
Daniela Massiceti   +5 more
semanticscholar   +1 more source

General and Specific Effects of Stereo Learning

open access: yesFrontiers in Human Neuroscience, 2021
Technological advancements in virtual reality challenge the human vision, especially stereopsis, a function, which characterizes how two eyes coordinate to form a unified three-dimensional (3D) representation of the external world and is found to be ...
Jie Xi   +7 more
doaj   +1 more source

Factors limiting sensitivity to binocular disparity in human vision: Evidence from a noise-masking approach

open access: yesJournal of Vision, 2020
Our visual system uses the disparity between the images received by the two eyes to judge three-dimensional distance to surfaces. We can measure this ability by having subjects discriminate the disparity of rendered surfaces.
Sara Alarcon Carrillo   +2 more
semanticscholar   +1 more source

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