Results 11 to 20 of about 1,701,201 (300)

Segmentation-Based Color Channel Registration for Disparity Estimation of Dual Color-Filtered Aperture Camera [PDF]

open access: yesSensors, 2018
Single-lens-based optical range finding systems were developed as an efficient, compact alternative for conventional stereo camera systems. Among various single-lens-based approaches, a multiple color-filtered aperture (MCA) system can generate disparity
Shuxiang Song, Sangwoo Park, Joonki Paik
doaj   +2 more sources

Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline [PDF]

open access: yesSensors
Accurate estimation of three-dimensional (3D) information from captured images is essential in numerous computer vision applications. Although binocular stereo vision has been extensively investigated for this task, its reliability is conditioned by the ...
Victor H. Diaz-Ramirez   +3 more
doaj   +2 more sources

Supervised disparity estimation [PDF]

open access: yesSPIE Proceedings, 2012
We introduce supervised disparity estimation in which an operator can steer the disparity estimation process. Instead of correcting errors, we view the estimation process as a constrained process where the constraints are indicated by the user in the form of control points, scribbles and contours. Control points are used to obtain accurate disparity
Vandewalle, P., Varekamp, C.
openaire   +3 more sources

Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors [PDF]

open access: yesSensors, 2018
Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation.
Dongchen Zhu   +5 more
doaj   +2 more sources

ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching [PDF]

open access: yesJournal of Imaging
Stereo matching has become an increasingly important component of modern autonomous systems. Developing deep learning-based stereo-matching models that deliver high accuracy while operating in real time continues to be a major challenge in computer ...
Mahmoud Tahmasebi   +3 more
doaj   +2 more sources

Latent Code Predictor for Accelerating Disparity Estimation in Stereo-Endoscopic Surface Reconstruction [PDF]

open access: yesSensors
Disparity estimation from stereo-endoscopic images is critical for 3D reconstruction in minimally invasive surgery (MIS). However, surgical environments have inherent interference factors including soft tissue deformation, motion blur, and photometric ...
Jiawei Dang   +4 more
doaj   +2 more sources

Cooperative disparity and object boundary estimation [PDF]

open access: yes2008 15th IEEE International Conference on Image Processing, 2008
In this paper we carry out cooperatively both disparity and object boundary estimation by setting the two tasks in a unified Markovian framework. We introduce a new joint probabilistic model that allows to estimate disparities through a Markov random field model.
Narasimha, Ramya   +3 more
openaire   +3 more sources

Disparity Estimation of High-Resolution Remote Sensing Images with Dual-Scale Matching Network

open access: yesRemote Sensing, 2021
As an essential task in remote sensing, disparity estimation of high-resolution stereo images is still confronted with intractable problems due to extremely complex scenes and dynamically changing disparities.
Sheng He   +4 more
doaj   +3 more sources

Disparity Estimation for Camera Arrays Using Reliability Guided Disparity Propagation

open access: yesIEEE Access, 2018
Light field cameras become increasingly popular recently, as they can capture 3-D geometry of the scene in a single snap-shot. Many post-capture adjustments can be realized after the disparity map or the equivalent depth map being estimated.
Yingqian Wang   +4 more
doaj   +2 more sources

Dense disparity estimation from omnidirectional images [PDF]

open access: yes2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007
This paper addresses the problem of dense estimation of disparities between omnidirectional images, in a spherical framework. Omnidirectional imaging certainly represents important advantages for the representation and processing of the plenoptic function in 3D scenes for applications in localization, or depth estimation for example.
Zafer Arican, Pascal Frossard
openaire   +4 more sources

Home - About - Disclaimer - Privacy