VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Poster Session B
Ballroom A/B
3D Action Reconstruction using Virtual Player to Assist Karate Training
Kazumoto Tanaka
(Kindai University, Japan)
Abstract: It is well known that sport skill learning is facilitated by video observation of players’ actions in the target sport. A viewpoint change function is desirable when a learner observes the actions using video images. However, in general, viewpoint changes for observation are not possible because most videos are filmed from a fixed point using a single video camera. The objective of this research is to develop a method that generates a 3D human model of a player (i.e., a virtual player) from a single image and enable observation of the virtual player's action from any point of view. As a first step, this study focused on karate training and developed a semiautomatic method for 3D reconstruction from video images of sparring in karate.


Time stamp: 2019-08-23T09:31:25+02:00