Results 31 to 40 of about 60,644 (302)
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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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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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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Secrets of optical flow estimation and their principles [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however, has changed little since the work of Horn and Schunck. We attempt to uncover what has made recent advances possible through a thorough analysis of how the objective function ...
Deqing Sun +2 more
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Dynamically consistent optical flow estimation [PDF]
2007 IEEE 11th International Conference on Computer Vision, 2007 In this paper, we present a framework for dynamic consistent estimation of dense motion fields over a sequence of images. The originality of the approach is to exploit recipes related to optimal control theory. This setup allows performing the estimation of an unknown state function according to a given dynamical model and to noisy and incomplete ...
Papadakis, Nicolas +2 more
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Continual Occlusion and Optical Flow Estimation
, 2019 ACCV2018, 16 ...
Michal Neoral, Jan Sochman, Jiri Matas
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Optical Flow Estimation with Channel Constancy [PDF]
, 2014 Large motions remain a challenge for current optical flow algorithms. Traditionally, large motions are addressed using multi-resolution representations like Gaussian pyramids. To deal with large displacements, many pyramid levels are needed and, if an object is small, it may be invisible at the highest levels.
Sevilla-Lara, L. +3 more
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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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FGBRSN: Flow-Guided Gated Bi-Directional Recurrent Separated Network for Video Super-Resolution
IEEE Access, 2023 Video Super-Resolution (VSR) is the task of reconstructing high-resolution (HR) video sequences from low-resolution (LR) video sequences. Apart from spatial information of reference frames, temporal information of neighboring frames is also important for
Weikang Xue +4 more
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