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BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
European Conference on Computer Vision, 2020Video interpolation increases the temporal resolution of a video sequence by synthesizing intermediate frames between two consecutive frames. We propose a novel deep-learning-based video interpolation algorithm based on bilateral motion estimation. First,
Jun-ho Park +3 more
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3D Human Motion Estimation via Motion Compression and Refinement
Asian Conference on Computer Vision, 2020We develop a technique for generating smooth and accurate 3D human pose and motion estimates from RGB video sequences. Our method, which we call Motion Estimation via Variational Autoencoder (MEVA), decomposes a temporal sequence of human motion into a ...
Zhengyi Luo +2 more
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IEEE Transactions on Industrial Informatics, 2020
Three-dimensional display and virtual reality technology have been applied in minimally invasive surgery to provide doctors with a more immersive surgical experience. One of the most popular systems based on this technology is the Da Vinci surgical robot
Ling Li +5 more
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Three-dimensional display and virtual reality technology have been applied in minimally invasive surgery to provide doctors with a more immersive surgical experience. One of the most popular systems based on this technology is the Da Vinci surgical robot
Ling Li +5 more
semanticscholar +1 more source
2010 IEEE International Conference on Image Processing, 2010
Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast motion relative to the magnitude of the image gradient. In this paper, we propose a fast random search algorithm to estimate motion.
Sylvain Boltz, Frank Nielsen
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Motion estimation is known to be a non-convex optimization problem. This non-convexity comes from several ambiguities in motion estimation such as the aperture problem, or fast motion relative to the magnitude of the image gradient. In this paper, we propose a fast random search algorithm to estimate motion.
Sylvain Boltz, Frank Nielsen
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Motion estimation optimization
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992Motion estimation is cast as a problem in energy minimization. This is achieved by modeling the displacement field as a Markov random field. The equivalence of a Markov random field and a Gibbs distribution is then used to convert the problem into one of defining an appropriate energy function that describes the motion and any constraints imposed on it.
Sarah A. Rajala +3 more
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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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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
Estimation of an affine motion
2009 American Control Conference, 2009This paper discusses the 3D affine motion estimation problem using two cameras via observations of a single feature point. The unknown parameters to be estimated include the nine rotational parameters, the three translational parameters, and the 3D position. One camera assumes a parabolic projection. The other camera is the conventional camera that has
Lili Ma +4 more
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Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020Cardiac motion estimation plays a key role in MRI cardiac feature tracking and function assessment such as myocardium strain. In this paper, we propose Motion Pyramid Networks, a novel deep learning-based approach for accurate and efficient cardiac ...
Hanchao Yu +5 more
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Motion segmentation and estimation
Proceedings of 1st International Conference on Image Processing, 2002Applies mean field technique and presents a deterministic algorithm to determine the optical flow and motion boundaries. To deal with the problem of large motion, the authors present an adaptive multigrid approach, which also greatly reduces the computation time. This algorithm is fully parallelizable and iterative.
Tian, Tina Yu, Shah, M.
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