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Optical Flow Estimation with Occlusion Detection [PDF]
Algorithms, 2019 The dense optical flow estimation under occlusion is a challenging task. Occlusion may result in ambiguity in optical flow estimation, while accurate occlusion detection can reduce the error.
Song Wang, Zengfu Wang
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Towards Anytime Optical Flow Estimation with Event Cameras [PDF]
SensorsEvent cameras respond to changes in log-brightness at the millisecond level, making them ideal for optical flow estimation. However, existing datasets from event cameras provide only low-frame-rate ground truth for optical flow, limiting the research ...
Yaozu Ye +7 more
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Robust Optical Flow Estimation [PDF]
Image Processing On Line, 2013 n this work, we describe an implementation of the variational method proposed by Brox etal. in 2004, which yields accurate optical flows with low running times.
Javier Sánchez Pérez +2 more
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TV-L1 Optical Flow Estimation [PDF]
Image Processing On Line, 2013 This article describes an implementation of the optical flow estimation method introduced by Zach, Pock and Bischof in 2007. This method is based on the minimization of a functional containing a data term using the L1 norm and a regularization term using
Javier Sánchez Pérez +2 more
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Subgrid Variational Optimized Optical Flow Estimation Algorithm for Image Velocimetry [PDF]
Sensors, 2022 The variational optical flow model is used in this work to investigate a subgrid-scale optimization approach for modeling complex fluid flows in image sequences and estimating their two-dimensional velocity fields.
Haoxuan Xu +4 more
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Ghost-removal image warping for optical flow estimation [PDF]
MATEC Web of Conferences, 2019 Traditional image warping methods used in optical flow estimation usually adopt simple interpolation strategies to obtain the warped images. But without considering the characteristic of occluded regions, the traditional methods may result in undesirable
Wang Song, Wang Zengfu
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Unsupervised Learning for Depth, Ego-Motion, and Optical Flow Estimation Using Coupled Consistency Conditions [PDF]
Sensors, 2019 Herein, we propose an unsupervised learning architecture under coupled consistency conditions to estimate the depth, ego-motion, and optical flow. Previously invented learning techniques in computer vision adopted a large amount of the ground truth ...
Ji-Hun Mun, Moongu Jeon, Byung-Geun Lee
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Optical flow estimation for flame detection in videos. [PDF]
IEEE Trans Image Process, 2013 Computational vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. Whereas many discriminating features, such as color, shape, texture, etc., have been employed in the literature, this paper proposes a set of motion features based on motion estimators.
Mueller M +3 more
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River Surface Velocimetry Based on Virtual River Dataset and Modulated-RAFT
IEEE Access, 2023 In recent years, there has been a surge of interest in image-based velocimetry methods for river surface velocity (RSV) estimation due to their efficiency and accuracy, including large-scale particle image velocimetry (LSPIV), space-time image ...
Yixin Wu +5 more
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3D Wavelet-Based Optical Flow Estimation [PDF]
Engineering and Technology Journal, 2007 In this paper, a new algorithm for accurate optical flow estimation using discretewavelet approximation is proposed. The image sequences are always assumed tobe noiseless in the computation of optical flow, since there is always a method thatcan perform ...
Mutaz. AbdulWahab
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