Results 11 to 20 of about 4,160,080 (316)
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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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
semanticscholar +1 more source
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
semanticscholar +1 more source
DCT-based motion estimation [PDF]
IEEE Transactions on Image Processing, 1998 We propose novel discrete cosine transform (DCT) pseudophase techniques to estimate shift/delay between two one-dimensional(1-D) signals directly from their DCT coefficients by computing the pseudophase shift hidden in DCT and then employing the sinusoidal orthogonal principles, applicable to signal delay estimation remote sensing.
U V, Koc, K R, Liu
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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 Estimation from Spheres [PDF]
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006 This paper addresses the problem of recovering epipolar geometry from spheres. Previous works have exploited epipolar tangencies induced by frontier points on the spheres for motion recovery. It will be shown in this paper that besides epipolar tangencies, N^2 point features can be extracted from the apparent contours of the N spheres whenN \gt 2.
Zhang, G, Wong, KYK
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Interpolation free subpixel accuracy motion estimation [PDF]
, 2006 Licensed and exploited by ProVision Communications Technologies Ltd. Accurate motion estimation at sub pixel resolution is computationally complex. Method overcomes difficulties of subpixel search in real time implementation of H.264 codec, through ...
Bull, DR +3 more
core +2 more sources