We studied highly realistic communication systems using a super multiview three-dimensional (3-D) video system. We propose the developed glasses-free 200-in. 3-D display using ∼200 high-definition (HD) projector units to reconstruct natural life-size 3-D moving objects, such as cars and humans. We also analyzed the optimal arrangement of the multiview camera system for the 3-D display. In the experiments, we developed a prototype super multiview 3-D camera system using compact HD video cameras with real-time convergence compensation circuits that correct the captured images via image processing optimized for the display. We also performed demonstration experiments using the developed 3-D display and camera system in a public area. As a result, we highlight several possibilities for actual applications of the glasses-free super multiview 3-D video system.
We have proposed a glasses-free three-dimensional (3D) display for displaying 3D images on a large screen using multi-projectors
and an optical screen consisting of a special diffuser film with a large condenser lens. To achieve high
presence communication with natural large-screen 3D images, we numerically analyze the factors responsible for
degrading image quality to increase the image size. A major factor that determines the 3D image quality is the
arrangement of component units, such as the projector array and condenser lens, as well as the diffuser film
characteristics. We design and fabricate a prototype 200-inch glasses-free 3D display system on the basis of the
numerical results. We select a suitable diffuser film, and we combine it with an optimally designed condenser lens. We
use 57 high-definition projector units to obtain viewing angles of 13.5°. The prototype system can display glasses-free
3D images of a life-size car using natural parallax images.
We have already developed glasses-free three-dimensional (3-D) displays using multi-projectors and a special diffuser
screen that results in a highly realistic communication system. The system can display 70-200 inch large-sized 3-D
images with full high-definition video image quality. The displayed 3-D images were, however, only computergenerated
graphics or still images of actual objects. In this work, we studied a 3-D video capturing method for our multiprojection
3-D display. We analyzed the optimal arrangement of cameras for the display, and the image quality as
influenced by calibration error. In the experiments, we developed a prototype multi-camera system using 30 highdefinition
video cameras. The captured images were corrected via image processing optimized for the display. We
successfully captured and displayed, for the first time, 3-D video of actual moving objects in our glasses-free 3-D video
system.
A projector array-based 70-inch screen display, which is our first prototype, has a smooth horizontal parallax and gives
a dense viewpoint interval that is narrower than half of the interocular distance. Our final goal is to develop advanced
autostereoscopy so that viewers are not compelled to wear 3D glasses and can avoid watching under insufficient resolution.
We believe that larger screen size, higher image quality, and such natural image appearances as motion parallax and
multiple viewer capability are priority targets for professional 3D display applications. By combining a proprietary screen
and our developed projector array, we've designed and implemented a kind of autostereoscopic projection display. Enough
pixels to render true high definition are assigned for every viewpoint. The initial implementation has more than 100
million pixels. The actual observed horizontal motion parallax is smooth and reduces flipping. This feasibility study
clarified the following two factors: the strong requirement of an array friendly feature ready projector, and the existence
of some image glitches. The appearances of moires and ghost images are the most significant factors of visual fatigue in
our implementation. Some of these problems were tackled and suppressed. The projectors for the array must be prepared
to manage color space, brightness, geometric image compensation, and accurate frame synchronization. Extracting and
examining the practical problems with an autostereoscopic projection display are the first steps of our feasibility study. Our
goal is to establish an autostereoscopic display with natural and superior horizontal parallax.
KEYWORDS: Cameras, 3D displays, Imaging systems, Image processing, Associative arrays, 3D image processing, Stereoscopy, 3D visualizations, 3D modeling, Eye
The multi-view three-dimensional (3D) visualization by means of a 3D display requires reproduction of scene light
fields. The complete light field of a scene can be reproduced from the images of a scene ideally taken from infinite
viewpoints. However, capturing the images of a scene from infinite viewpoints is not feasible for practical applications.
Therefore, in this work, we propose a sparse camera image capture system and an image based virtual image generation
method for 3D imaging applications. We show a resulting virtual image produced by the proposed algorithm for
generating in-between view of two real images captured with our multi-camera image capture system.
Multimedia Ambiance Communication is as a means of achieving shared-space communication in an immersive environment consisting of an arch-type stereoscopic projection display. Our goal is to enable shared-space communication by creating a photo-realistic three-dimensional (3D) image space that users can feel a part of. The concept of a layered structure defined for painting, such as long-range, mid-range, and short-range views, can be applied to a 3D image space. New techniques, such as two-plane expression, high quality panorama image generation and setting representation for image processing, 3D image representation and generation for photo- realistic 3D image space have been developed. Also, we propose a life-like avatar within the 3D image space. To obtain the characteristics of user's body, a human subject is scanned using a CyberwareTM whole body scanner. The output from the scanner, a range image, is a good start for modeling the avatar's geometric shape. A generic human surface model is fitted to the range image. The obtained model is topologically equivalent even if our method is applied to another subject. If a generic model with motion definitions is employed, and common motion rules can be applied to all models made from the generic model.
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