Results 41 to 50 of about 343,452 (277)
Decomposition of Optical Flow on the Sphere [PDF]
, 2014 We propose a number of variational regularisation methods for the estimation and decomposition of motion fields on the $2$-sphere. While motion estimation is based on the optical flow equation, the presented decomposition models are motivated by recent ...
Kirisits, Clemens +2 more
core +1 more source
Journal of Open Research Software, 2021 This paper describes OpenOpticalFlow_PIV, an open source Matlab program integrating the optical flow method with the cross-correlation method for extraction of high-resolution velocity fields from particle images with large displacements.
Tianshu Liu, David M. Salazar
doaj +1 more source
A massively parallel multi-level approach to a domain decomposition method for the optical flow estimation with varying illumination [PDF]
, 2015 We consider a variational method to solve the optical flow problem with varying illumination. We apply an adaptive control of the regularization parameter which allows us to preserve the edges and fine features of the computed flow.
Belhachmi, Zakaria +1 more
core +3 more sources
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
doaj +1 more source
Guided Filtering: Toward Edge-Preserving for Optical Flow
IEEE Access, 2018 Despite progress made in the accuracy and robustness of optical flow in past years, the problem of over-segmentation and the blurring of image edge and motion boundary caused by the illumination change, complex texture, large displacement, and motion ...
Congxuan Zhang +5 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
doaj +1 more source
Improved Discrete Optical Flow Estimation With Triple Image Matching Cost
IEEE Access, 2020 Approaches that use more than two consecutive video frames in the optical flow estimation have a long research history. However, almost all such methods utilize extra information for a pre-processing flow prediction or for a post-processing flow ...
Fei Yang +3 more
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A Motion Refinement Network With Local Compensation for Video Frame Interpolation
IEEE Access, 2023 Video frame interpolation (VFI) is a challenging yet promising task that involves synthesizing intermediate frames from two given frames. State-of-the-art approaches have made significant progress by directly synthesizing images using forward optical ...
Kaiqiao Wang, Peng Liu
doaj +1 more source
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
, 2018 Robust velocity and position estimation is crucial for autonomous robot navigation. The optical flow based methods for autonomous navigation have been receiving increasing attentions in tandem with the development of micro unmanned aerial vehicles.
Ji, Tete +3 more
core +1 more source
Robust Optical Flow Estimation in Mpeg Sequences [PDF]
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006 Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing video data, the analysis of its motion field is important for real time video indexing and segmentation, event analysis and surveillance applications.
Ζερβακης Μιχαλης(http://users.isc.tuc.gr/~mzervakis) +2 more
openaire +2 more sources