We propose a novel deep learning framework for sports field registration. The typical
algorithmic flow for sports field registration involves extracting field-specific features (eg …

Free-viewpoint video allows the user to view objects from any virtual perspective, creating
an immersive visual experience. This technology enhances the interactivity and freedom of …

We introduce GS-SFS, a method that utilizes a camera array with wide baselines for high-
quality multiple human mesh reconstruction in large-scale sports scenes. Traditional human …

Background Free-viewpoint video (FVV) is processed video content in which viewers can
freely select the viewing position and angle. FVV delivers an improved visual experience …

Multicamera calibration is an important technique for generating free-view videos. By
arranging multiple cameras in a scene after camera calibration and image processing, a …

This paper addresses the challenge of registering a 3D sports field from a baseball pitcher
scene image. Some recent works have proposed calibrating a 2D homography matrix and …

Free-viewpoint videos offer audiences a more immersive and liberated way to watch sports.
The rendering of sports scenes encompasses two essential elements: dynamic targets and …

Recently, volumetric video has gained growing research interest as it allows for the creation
of immersive and realistic experiences by representing the full volume of 3D content …

Audiences cangain an immersive experience watching videos from multiple angles (aka
viewpoints). Free Viewpoint Video (FVV) is developed to enable users to choose their …

We propose, to the best of our knowledge, the world's first system capable of fast calculating
computer-generated holograms (CGHs) from a large-scale outdoor sports scene captured …