Results 21 to 30 of about 6,685,742 (241)
Sensors, 2023 In this paper, we propose a robust and integrated visual odometry framework exploiting the optical flow and feature point method that achieves faster pose estimate and considerable accuracy and robustness during the odometry process.
Haiyang Qiu +6 more
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Optical flow estimation on image sequences with differently exposed frames [PDF]
, 2015 Optical flow (OF) methods are used to estimate dense motion information between consecutive frames in image sequences. In addition to the specific OF estimation method itself, the quality of the input image sequence is of crucial importance to the ...
Lindström, Konstantin, +6 more
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Deep Optical Flow Supervised Learning With Prior Assumptions
IEEE Access, 2018 Traditional methods for estimating optical flow use variational model that includes data term and smoothness term, which can build a constraint relationship between two adjacent images and optical flow.
Xuezhi Xiang +4 more
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Direct Optical-Flow-Aware Computational Framework for 3D Reconstruction
IEEE Access, 2019 In this paper, a direct computational method is presented which combines optical flow and structure from motion (SfM) by putting the SfM problem in the framework of optical flow estimation. In other word, the optical flow is reparametrized in term of the
Huijuan Hu, Pei Chen
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Low-Latency and Scene-Robust Optical Flow Stream and Angular Velocity Estimation
IEEE Access, 2021 Event cameras are bio-inspired sensors that capture intensity changes of pixels individually, and generate asynchronous and independent “events”.
Sangil Lee, H. Jin Kim
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INTUITIVE ESTIMATION OF SPEED USING MOTION AND MONOCULAR DEPTH INFORMATION
Studia Universitatis Babes-Bolyai: Series Informatica, 2020 Advances in deep learning make monocular vision approaches attractive for the autonomous driving domain. This work investigates a method for estimating the speed of the ego-vehicle using state-of-the-art deep neural network based optical flow and single-
Róbert Adrian RILL
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Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]
Engineering and Technology Journal, 2010 Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
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A Robust and Discontinuity-Preserving Approach to Optical Flow Estimation
, 2009 In this paper we develop a robust and discontinuity-preserving approach based on local and global combined model for the optical flow estimation. Firstly, the local and global optical flow methods are combined to yield dense flow fields that are robust ...
Chen FL(陈法领) +3 more
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Research on traditional and deep learning strategies based on optical flow estimation - a review
Journal of King Saud University: Computer and Information SciencesOptical flow estimation captures the motion information of objects in a scene through analyzing the displacement of pixels in an image over time. This technology provides a powerful tool for vision systems, allowing them to understand and perceive ...
Yifan Wang +8 more
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Content-aware optical flow estimation
, 2013 While motion tracking is of use in many computer vision applications, optical flow estimation has become a challenging task that attracts vast interest in the past decade.
Bouridane, Ahmed, Jiang, Richard M.
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