Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction
PubDate: August 2018
Teams: Beijing Institute of Technoloqy；Advanced Innovation Center for Future Visual Entertainment
Writers: Zhenliang Zhang; Yue Li; Dongdong Weng; Vue Liu; Yongtian Wang
Abstract
Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-term use. In this paper, we propose a real-time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.
