Results 11 to 20 of about 44,252 (301)

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   +3 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

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

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

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

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

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

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, Ruqin Zhou, Shenhong Li
exaly   +3 more sources

System approach to disparity estimation [PDF]

open access: yesElectronics Letters, 1995
A system approach to disparity estimation using dynamic programiming is presented. The four step system can calculate a dense correspondence map between a stereo pair with parallel or nonparallel camera geometry.
S. Panis, M. Ziegler, J.P. Cosmas
openaire   +2 more sources

Sparse Self-Prompt-Guided Stereo Matching for Real-World Generalization [PDF]

open access: yesSensors
Stereo matching has witnessed rapid advances on curated benchmarks, yet deploying models in unconstrained real-world environments remains a fundamental challenge.
Hangbiao Li   +6 more
doaj   +2 more sources

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