Disparity estimation - Open Access .click

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Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation

, 2020
Deep learning approaches have significantly contributed to recent progress in stereo matching. These deep stereo matching methods are usually based on supervised training, which requires a large amount of high-quality ground-truth depth map annotations ...
Wang, Xiang +7 more
core +1 more source

Light-Weight EPINET Architecture for Fast Light Field Disparity Estimation

, 2022
Recent deep learning-based light field disparity estimation algorithms require millions of parameters, which demand high computational cost and limit the model deployment.
Egiazarian, Karen +6 more
core +1 more source

Temporal Trends and Short‐ and Long‐Term Mortality of People With Acute Myocardial Infarction and Rheumatoid Arthritis: A Nationwide Cohort Study

Arthritis Care &Research, EarlyView.
Objective We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analyzed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalized with AMI between 2005 and 2019 from the Myocardial Ischaemia ...
Megan Butler +8 more
wiley +1 more source

Implementation of a Depth from Light Field Algorithm on FPGA

Sensors, 2019
A light field is a four-dimensional function that grabs the intensity of light rays traversing an empty space at each point. The light field can be captured using devices designed specifically for this purpose and it allows one to extract depth ...
Cristina Domínguez Conde +2 more
doaj +1 more source

A Novel Stereo Matching Algorithm for Digital Surface Model (DSM) Generation in Water Areas

Remote Sensing, 2020
Image dense matching has become one of the widely used means for DSM generation due to its good performance in both accuracy and efficiency. However, for water areas, the most common ground object, accurate disparity estimation is always a challenge to ...
Wenhuan Yang, Xin Li, Bo Yang, Yu Fu
doaj +1 more source

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby +448 more
wiley +1 more source

SAOF: A Semantic-Aware Optical Flow Framework for Fine-Grained Disparity Estimation in High-Resolution Satellite Stereo Images

Remote Sensing
Disparity estimation from high-resolution satellite stereo images is critical for 3D reconstruction but remains challenging due to large disparities, complex structures, and textureless regions.
Dingkai Wang +7 more
doaj +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey +8 more
wiley +1 more source

High-Performance Binocular Disparity Prediction Algorithm for Edge Computing

Sensors
End-to-end disparity estimation algorithms based on cost volume deployed in edge-end neural network accelerators have the problem of structural adaptation and need to ensure accuracy under the condition of adaptation operator.
Yuxi Cheng +4 more
doaj +1 more source

Disparity estimation window size [PDF]

Optical Engineering, 2003
Disparity estimation plays a crucial role in many stereo image compression techniques. To reduce computational complexity most methods limit the estimation search area to a limited window. The performance of the disparityestimation depends on the choice of the limited search window.
openaire +1 more source

stereo matching
fos: computer and information sciences
computer vision and pattern recognition cs.cv

stereo vision
deep learning
technology

light field
convolutional neural network
machine learning cs.lg