Results 11 to 20 of about 3,878,820 (309)
Automatic Joint Parameter Estimation from Magnetic Motion Capture Data [PDF]
Graphics Interface, 2023 This paper describes a technique for using magnetic motion capture data to determine the joint parameters of an articulated hierarchy. This technique makes it possible to determine limb lengths, joint locations, and sensor placement for a human subject ...
J. F. O'Brien +3 more
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FAST MOTION ESTIMATION ALGORITHM FOR HEVC VIDEO CODEC [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2020 Subject of Research. The paper considers motion estimation as the most difficult and resource-consuming process in the high efficiency video coding standard. A fast algorithm is proposed that skips the fractional-pixel motion estimation. Method.
Doan Ban Tien, Andrey A. Tropchenko
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HuMoR: 3D Human Motion Model for Robust Pose Estimation [PDF]
IEEE International Conference on Computer Vision, 2021 We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from dynamic observations, recovering plausible pose sequences in the presence
Davis Rempe +5 more
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Multi-Frame Blind Super-Resolution Based on Joint Motion Estimation and Blur Kernel Estimation
Applied Sciences, 2022 Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using the information of inter-frame and intra-frame images.
Shanshan Liu +2 more
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Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [PDF]
Computer Vision and Pattern Recognition, 2022 Learning to capture human motion is essential to 3D human pose and shape estimation from monocular video. However, the existing methods mainly rely on recurrent or convolutional operation to model such temporal information, which limits the ability to ...
Wen-Li Wei +3 more
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Motion estimation and correction in SPECT, PET and CT
Physics in Medicine and Biology, 2021 Patient motion impacts single photon emission computed tomography (SPECT), positron emission tomography (PET) and x-ray computed tomography (CT) by giving rise to projection data inconsistencies that can manifest as reconstruction artifacts, thereby ...
A. Kyme, R. Fulton
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Measurement + Control, 2023 Motion estimation from surface electromyogram (sEMG) signals has been studied extensively over the past decades. Nevertheless, it is challenging for novel subjects to adapt to a trained estimation model since sEMG signals inherently contain user ...
Song Zhang +4 more
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Motion Field Estimation for a Dynamic Scene Using a 3D LiDAR
Sensors, 2014 This paper proposes a novel motion field estimation method based on a 3D light detection and ranging (LiDAR) sensor for motion sensing for intelligent driverless vehicles and active collision avoidance systems.
Qingquan Li +6 more
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ACCURATE MOTION ESTIMATION FOR ROTATIONAL IMAGE SEQUENCES [PDF]
ICTACT Journal on Image and Video Processing, 2023 Complex motion patterns, non-rigid deformations, occlusions, and illumination changes largely affect rotational image sequences. This makes accurate motion estimation a challenging task.
Hirak Doshi, N Uday Kiran
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MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Motion estimation (ME) and motion compensation (MC) have been widely used for classical video frame interpolation systems over the past decades. Recently, a number of data-driven frame interpolation methods based on convolutional neural networks have ...
Wenbo Bao +4 more
semanticscholar +1 more source