Despite continued improvements in virtual reality (VR) technologies, many people still
experience adverse symptoms from using head-mounted displays (HMDs). Typically, these …

In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-
based method for predicting the degree of motion sickness induced by a 360° stereoscopic …

Stereoscopic (S3D) displays create conflicts between the distance to which the eyes must
converge and the distance to which the eyes must accommodate. Such conflicts require the …

Quality perception of 3-D images is one of the most important parameters for accelerating
advances in 3-D imaging fields. Despite active research in recent years for understanding …

This paper proposes a new objective metric of exceptional motion in VR video contents for
VR sickness assessment. In VR environment, VR sickness can be caused by several factors …

We introduce a new objective assessment method for visual discomfort of stereoscopic
images that makes effective use of the human visual attention model. The proposed method …

This paper proposes object-dependent disparity features to predict the visual discomfort in
stereoscopic 3-D images. The proposed object-dependent disparity features quantify the …

Excessive psychological pressure, long working hours, and excessive labor intensity can
make people exhausted and affect people's cognition and motor function. Detecting the …

We propose a novel metric of visual comfort for stereoscopic motion, based on a series of
systematic perceptual experiments. We take into account disparity, motion in depth, motion …

Three-dimensional (3-D) visual comfort assessment (VCA) is a particularly important and
challenging topic, which involves automatically predicting the degree of visual comfort in line …