Results 51 to 60 of about 1,264,081 (186)
Implicit and Explicit Regularization for Optical Flow Estimation
Sensors, 2020 In this paper, two novel and practical regularizing methods are proposed to improve existing neural network architectures for monocular optical flow estimation.
Konstantinos Karageorgos +3 more
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Registration of Consecutive Frames From Wireless Capsule Endoscopy for 3D Motion Estimation
IEEE Access, 2021 Wireless Capsule Endoscopy (WCE) is a non-invasive medical procedure devised for painless in vivo inspection of the gastrointestinal (GI) tract. It is especially valuable for the examination of the small intestine since it is difficult to reach by ...
Marina Oliveira +5 more
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Optimal Filter Estimation for Lucas-Kanade Optical Flow
Sensors, 2012 Optical flow algorithms offer a way to estimate motion from a sequence of images. The computation of optical flow plays a key-role in several computer vision applications, including motion detection and segmentation, frame interpolation, three ...
Remus Brad, Nusrat Sharmin
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OptiFlex: Multi-Frame Animal Pose Estimation Combining Deep Learning With Optical Flow
Frontiers in Cellular Neuroscience, 2021 Animal pose estimation tools based on deep learning have greatly improved animal behaviour quantification. These tools perform pose estimation on individual video frames, but do not account for variability of animal body shape in their prediction and ...
XiaoLe Liu +10 more
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An improved 2D optical flow sensor for motion segmentation [PDF]
, 2002 A functional focal-plane implementation of a 2D optical flow system is presented that detects an preserves motion discontinuities. The system is composed of two different network layers of analog computational units arranged in a retinotopical order.
stocker, alan
core +2 more sources
A Fusion Approach for Multi-Frame Optical Flow Estimation
, 2018 To date, top-performing optical flow estimation methods only take pairs of consecutive frames into account. While elegant and appealing, the idea of using more than two frames has not yet produced state-of-the-art results.
Gallo, Orazio +5 more
core +2 more sources
Convective regularization for optical flow
, 2015 We argue that the time derivative in a fixed coordinate frame may not be the most appropriate measure of time regularity of an optical flow field. Instead, for a given velocity field $v$ we consider the convective acceleration $v_t + \nabla v v$ which ...
Iglesias, José A., Kirisits, Clemens
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Adaptive Fractional-Order Multi-Scale Optimization TV-L1 Optical Flow Algorithm
Fractal and FractionalWe propose an adaptive fractional multi-scale optimization optical flow algorithm, which for the first time improves the over-smoothing of optical flow estimation under the total variation model from the perspective of global feature and local texture ...
Qi Yang +3 more
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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
Frontiers in Physiology, 2023 Propose: Contrast-enhanced ultrasound has shown great promises for diagnosis and monitoring in a wide range of clinical conditions. Meanwhile, to obtain accurate and effective location of lesion in contrast-enhanced ultrasound videos is the basis for ...
Haozhe Tian +5 more
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