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Motion Estimation

Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Papers

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Showing 401–410 of 741 papers

TitleStatusHype
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning—0
DELTA: Dense Efficient Long-range 3D Tracking for any video—0
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors—0
Dense Motion Estimation for Smoke—0
Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements—0
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern—0
Dense Segmentation-Aware Descriptors—0
Dense Visual Odometry Using Genetic Algorithm—0
Determining Motion Directly from Normal Flows Upon the Use of a Spherical Eye Platform—0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
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