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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 631–640 of 741 papers

TitleStatusHype
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Robust Video Background Identification by Dominant Rigid Motion Estimation—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking—0
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template—0
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model—0
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
Neural Maximum A Posteriori Estimation on Unpaired Data for Motion DeblurringCode0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
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