A Predictive Approach to On-line Time Warping of Motion

Randall, Mathew and Athwal, Cham and Williams, Ian (2017) A Predictive Approach to On-line Time Warping of Motion. In: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 9-13th Oct 2017, Nante, France.

Preview

Text 08088469.pdf Download (1MB)

Abstract

The paper presents a novel approach to real-time temporal alignment of motion sequences, called On-line Predictive Warping (OPW) and considers potential uses in interactive applications. The approach develops on the methods of aligning motions based on least cost, used in dynamic time warping (DTW), with the short term predictions of smoothing algorithms, in an iterative step through approach. The approach allows a recorded motion sequence to be warped to align it with a users motion as it is being captured. The paper demonstrates the potential feasibility of the approach to support applications in MR and VR, allowing virtual characters to perform and interact with users and live actors in a variety of rehearsal, training, visualisation and performance scenarios.

Item Type:	Conference or Workshop Item (Poster)
Dates:	Date Event 30 October 2017 Published Online 15 June 2017 Accepted
Subjects:	CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions:	Faculty of Computing, Engineering and the Built Environment > College of Computing
Depositing User:	Mathew Randall
Date Deposited:	13 Nov 2018 11:53
Last Modified:	22 Mar 2023 12:01
URI:	https://www.open-access.bcu.ac.uk/id/eprint/6558

Actions (login required)

View Item