Redirection makes it possible to walk around a vast virtual space in a limited real space while providing a natural walking sensation by applying a gain to the amount of movement in a real space. However, manipulating the walking path while keeping it and maintaining the naturalness of walking when turning at a corner cannot be achieved by the existing methods. To realize natural manipulation for turning at a corner, this study proposes novel “turning gains”, which refer to the increase in real and virtual turning degrees. The result of an experiment which aims to estimate the detection thresholds of turning gains indicated that when the turning radius is 0.5 m, discrimination is more difficult compared with the rotation gains (r = 0.0m).

Conventional RGB image acquisition employs an image capturing system that utilizes color filter array (CFA) technology; however, it is limited in its ability to represent visible colors. Multispectral imaging based on filter array architecture is required for general image capturing because of its exquisite color representation system. However, it has several issues associated with spatial and spectral resolution. In this paper, we propose a new demosaicking method that improves reconstructed image quality by considering inter-channel correlation. Our proposed method strengthens the cross-correlation of demosaicked channels by repeating interpolations. Experimental results show that our proposed method generates better quality reconstructed images than conventional methods.