Holographic process is an imaging technique for reconstructing 3D images in three dimensional space. In holographic wave front reconstructing, several approaches adopting photorefractive crystals or lens systems have been studied. However in these systems, the problems arise such that the size of the reconstructed image is to be small and the visual field is restricted to be narrow by the lens. Our new imaging process presented here takes advantage of scattering of particles (by spraying water) as a holographic 3D screen, and this process enables us to reconstruct relatively larger 3D images (5cm×5cm) than the ones (1.5cm×1.5cm) observed in the previous systems
A computer-generated hologram (CGH) is an autostereoscopic method for displaying images without the need for special glasses. To achieve realistic 3D displays using a CGH, hidden surface removal is a key technique for displaying multiple 3D objects. However, an established method for object-light calculation considering hidden surface removal is currently not available. We describe a new algorithm considering hidden surface removal using a Z-buffer that has information for ray arrival direction. The method can display multiple-view-point 3D images and compute object light faster than the conventional method. The results of optical experiments using holograms generated by the method show us 3D images with hidden surface removal.
To track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera We describe a method that tracks multiple people and identifies their body parts in multiple camera images Estimating the positions of people and identifying the multiple cameras are mainly based on the silhouette method combining the background and frame subtraction Our method was improved by using the existence probability map on noise problems The existence probability map consists of the position probability and height cumulus maps. A gesture event is detected by comparing the human and motion blocks that are extracted from the voting space using the silhouette method We demonstrate experimental results and the validity of our method
The psychological factors of HDTV and stereoscopic (3-D) HDTV are discussed, as well as the applicability of a one-dimensional quality grading scale, which is often used in evaluating picture quality, to an evaluation of the overall impressions is studied. First, HDTV and 3-D HDTV sequences were analyzed with the Semantic Differential (SD) technique and factor analysis. Eight factors were obtained separately for each kind of television. Next, the relationship between the opinion scores obtained using a seven-grade quality scale and the factor scores was examined for representation by multiple regression models. Consequently, the regression model was found to be applicable to the scores for HDTV sequences and to be inapplicable to those for the 3-D HDTV sequences. The “Naturalness” (Sense of naturalness) from the 3-D HDTV was found to be closely related to the disparity.