Results 41 to 50 of about 55,702 (256)
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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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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Imposing Consistency for Optical Flow Estimation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 CVPR ...
Jisoo Jeong +3 more
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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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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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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
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Joint estimation-segmentation of optic flow [PDF]
, 1998 In this paper we address the intricate issue of jointly recovering the apparent velocity field between two consecutive frames and its underlying partition. We design a global cost functional including robust estimators. These estimators enable to deal with the large deviations occurring in the different energy terms and offer the possibility to ...
Étienne Mémin, Patrick Pérez
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