In this paper, we propose an effective method for mismatch removal, termed as graph neighborhood motion consensus, to address the feature matching problem which plays a pivotal role in various ...

Radar detects stable, long-range objects under variable weather and lighting conditions, making it a reliable and versatile sensor well suited for ego-motion estimation. In this work, we propose a ...

Add a description, image, and links to the motion-graph topic page so that developers can more easily learn about it ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Motion Matching Animator_SO - asset which represent animation state machine controller (like mecanim animation controller) Native Motion Group - asset which represent one or more animations. This ...

We introduce motion graph, a novel approach to address the video prediction problem, i.e., predicting future video frames from limited past data. The motion graph transforms patches of video frames ...

The dual embedding learning module can be divided into three steps. An edge-enhanced GCN is applied to the line graph for edge embedding. Secondly, a GCN with residual connections is applied to the ...

It would be interesting to find a vertex transitive graph whose matching polynomial has a nonsimple root. Such a graph would not have a hamiltonian path (see [1,2]) and would disprove a conjecture of ...

TANGO works in three main steps. First, it analyzes reference videos to create a "motion graph" of possible body positions. The motion graph represents possible transitions between different postures ...

Velocity-time graphs If an object moves along a straight line, its motion can be represented by a velocity-time graph. The gradient of the line is equal to the acceleration of the object.