A single SLM full-color holographic 3-D display based on sampling and selective frequency-filtering methods is proposed. Sampled R, G and B-holograms provide periodic 3×3 arrays of their frequency spectrums. By allocating three groups of three spectrums to each color hologram, and selectively filtering out those spectrums with their own spectrum filtering masks, frequency-filtered R, G and B-holograms can be obtained. These holograms are then multiplexed into a single hologram and reconstructed into a full-color 3-D image on a 4-f lens system. With the Fourier-optical analysis and experiments with 3-D objects the feasibility of the proposed system is finally confirmed.
In this paper, a transmission-type full-color holographic screen based on VHOEs is newly proposed, and with which a new type of augmented-reality projection display is implemented. For this, a two-stage diffraction method with two kinds of VHOEs is proposed for the effective removal of color dispersion and DC component. That is, the 1st VHOE for removing color-dispersion is recorded at the angle cutting 60° in half and 2nd VHOE for displaying the full-color image is recorded at the angle of 30°. Then, a projection display system to reconstruct the full-color image without color dispersion and DC component is optimally designed and implemented just by controlling the angles of the LCD display panel and VHOEs, as well as the distance between the two VHOEs. With experiments, the image clarity depending on the focus of the eyes as a space-projection system, as well as the degree of removal of the color dispersion, has been discussed. In addition, successful experimental results confirm a possibility of implementing the VHOE-based full-color augmented-reality projection display system.
In this paper, we propose multiple recording process of photopolymer for a full-color multi-view including multiple-view
auto-stereoscopic 3D display system based on VHOE (Volume Holographic Optical Element). To overcome the
problems such as low resolution, and limited viewing zone of conventional 3D-display without glasses, we designed
multiple recording condition of VHOE for multi-view display. It is verified that VHOE may be optically made by angle-multiplexed
recording of pre-designed multiple-viewing zone that uniformly is recorded through optimized exposuretime
scheduling scheme. Here, VHOE-based backlight system for 4-view stereoscopic display is implemented, in which
the output beams that playing a role reference beam from LGP(Light guide plate)t may be sequentially synchronized
with the respective stereo images displayed on the LCD panel.
In this paper, we propose the novel collimative backlight system for VHOE-based time multiplexed autostereoscopic
display. We investigate the deterministic parameters of LGP and light sources for output beam forming such as uniform
intensity distribution, uniform angular distribution and the degree of the collimation and control of output angle and
propose a novel composite between light source and designed LGP.
In this paper, to realize a non-glasses type 3D display as next step from the current glasses-typed 3D display, it is
suggested that a viewing zone is designed for the 3D display using DOE (Diffusing Optical Element). Viewing zone of
proposed method is larger than that of the current parallax barrier method or lenticular method. Through proposed
method, it is shown to enable the expansion and adjustment of the area of viewing zone according to viewing distance.
In this paper, a novel approach for extraction of object perspectivity using a new elemental image array is proposed. Generally, if we want to change the perspectivity of objects, we should change the position of object or camera, forward or backward. But, it makes the information of object image be limited. In other words, as the angle of camera is changed, the viewing angle is also done. Here, it makes the information of object be limited. As the object size is the bigger than before. In contrast of it, background image or other object image of rate is the smaller. Not only the information of object is limited, but also it is difficult to array experiment sets. Accordingly, in this paper, the perspectivity of objects is realized by using a new elemental image array which is made change the pinhole points horizontally. If the pinhole point is changed, the matching pixel is also changed. As if picked up image distance is the closer than before. So the perspectivity is changed. That is, It makes the similarly effect of changing the distance vertically. And it makes other perspectivity which is different from conventional method. Of course, the information is a little changed, but the image information is not much different. And it is not limited by the angle of camera or viewing angle. Besides experiment sets are maintained. Show the feasibility of the proposed method, some experiments with test objects are carried out and the results are presented.
KEYWORDS: 3D image processing, Integral imaging, 3D image enhancement, Cameras, Synthetic aperture radar, Superposition, Image enhancement, 3D image reconstruction, Three dimensional sensing, Object recognition
We present enhanced 3D object reconstruction of heavy occluded object and enhanced 3D object recognition using
variance estimation with synthetic aperture integral imaging (SAII). SAII is a technique that acquires the elemental
images moving imaging sensor of camera without the micro lens array which was used to get elemental images in
conventional II system. We used volumetric II among various computational II. In volumetric reconstruction, the focused
areas of the reconstructed image are varied with the distance of the reconstruction plane. A partially occluded object
which is focused can be reconstructed clearly by making the occluding object blur using the lens. However, to
reconstruct an unobstructed object using volumetric II in heavy occluding object, other methods are additionally required
because occluded object is reconstructed with heavy blurred distribution of occluding objects. The proposed method is to
get 3D unobstructed object using the value of variance of superposed pixels of elemental images for heavy occluding
object. If the variance of superposed pixels is calculated, because the variance value of pixels in the only blurred
distribution are small comparing with the value including the pixels of occluded object, the heavy occluded object image
is reconstructed remedying blurred distribution due to the occluding objects. Calculating this variance, quality of
reconstructed image is enhanced. We applied to 3D recognition with the enhanced visualization, and it is shown that the
peak value of correlation with enhanced reconstruction using the proposed method is superior to the 3D recognition
without enhanced 3D object reconstruction.
KEYWORDS: Video, Video coding, 3D displays, Video processing, Computer programming, 3D image processing, Motion estimation, Cameras, Displays, 3D video compression
In this paper, variable disparity-motion estimation (VDME) based
3-view video coding is proposed. In the encoding,
key-frame coding (KFC) based motion estimation and variable disparity estimation (VDE) for effectively fast three-view
video encoding are processed. These proposed algorithms enhance the performance of 3-D video encoding/decoding
system in terms of accuracy of disparity estimation and computational overhead. From some experiments, stereo
sequences of 'Pot Plant' and 'IVO', it is shown that the proposed algorithm's PSNRs is 37.66 and 40.55 dB, and the
processing time is 0.139 and 0.124 sec/frame, respectively.
KEYWORDS: Near infrared, Visible radiation, 3D image processing, 3D image reconstruction, Iron, Integral imaging, 3D modeling, Cameras, Image sensors, Stereoscopy
We present near-infrared (NIR) 3D sensing and reconstruction of occluded objects using synthetic aperture integral
imaging (SAII). We present experiments with the NIR 3D imaging system using a radiant object. The occluded object is
not observed in visible spectrum due to front obstruction. However, with 3D computational reconstruction, the NIR
image of the object shows substantially reduced front obstruction.
KEYWORDS: 3D image processing, Image resolution, 3D image reconstruction, Reconstruction algorithms, Integral imaging, Microlens array, 3D displays, Digital cameras, Feature extraction, Image processing
In this paper, we present a system to reconstruct perspective view of a partially occluded object by using computational integral imaging. The system is analyzed to extract information of off-centered views from a elemental images set. To obtain unobstructed images with high resolution, low focus error, and large depth of focus, synthetic aperture integral imaging utilizing a digital camera has been adopted.
KEYWORDS: Reconstruction algorithms, 3D image processing, 3D image reconstruction, Image resolution, Integral imaging, Microlens array, 3D visualizations, Visualization, 3D displays, Three dimensional sensing
In this paper, we present a system to reconstruct a free view of a partially occluded object by using computational integral imaging. The system is analyzed to sense information of off-center views from a elemental images set. To obtain unobstructed images with high resolution, low focus error, and large depth of focus, synthetic aperture integral imaging utilizing a digital camera has been adopted. Two novel algorithms are proposed: 1) an algorithm for reconstructing volumetric perspective images and 2) an algorithm for scaling reconstruction images at arbitrary distances.
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