This paper proposes a method for constructing a reasonable scale of end-to-end free-viewpoint video system that
captures multiple view and depth data, reconstructs three-dimensional polygon models of objects, and display
them on virtual 3D CG spaces. This system consists of a desktop PC and four Kinect sensors. First, multiple
view plus depth data at four viewpoints are captured by Kinect sensors simultaneously. Then, the captured data
are integrated to point cloud data by using camera parameters. The obtained point cloud data are sampled to
volume data that consists of voxels. Since volume data that are generated from point cloud data are sparse,
those data are made dense by using global optimization algorithm. Final step is to reconstruct surfaces on dense
volume data by discrete marching cubes method. Since accuracy of depth maps affects to the quality of 3D
polygon model, a simple inpainting method for improving depth maps is also presented.
This paper describes the trial development of an ergonomic evaluation system for stereoscopic video production. The purpose of the system is to quantify the parallax distribution of stereoscopic images and evaluate their viewing safety and comfort. The authors processed the images to extract the optical flow between the right and left images. The reference values for safety and comfort were obtained from two subjective evaluation and precedent studies. This paper reports the results of the experiments and the development of a prototype evaluation system.