scholarly journals Three-Dimensional Image. 3D Image Display with Motion Parallax Using Camera Matrix Stereo. Evaluating Image Generation Algorithms.

1996 ◽  
Vol 50 (9) ◽  
pp. 1268-1276
Author(s):  
Itaru Kitahara ◽  
Kiyohide Satoh ◽  
Yuichi Ohta
Keyword(s):  
Motion Parallax ◽  
Three Dimensional ◽  
Image Display ◽  
Image Generation ◽  
3D Image ◽  
Dimensional Image

Real Three-Dimensional Image Projection System Based on the Volumetric 3D Display Principles and the WPF Framework

2013 ◽  
Vol 427-429 ◽  
pp. 1436-1439
Author(s):  
Guo Ping
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
3D Image ◽  
3D Display ◽  
Projection System ◽  
3D Images ◽  
Holographic Image ◽  
Dimensional Image ◽  
Naked Eye ◽  
Revelation Principle

The real projection system image of 3D Rotating cones based on the Volumetric 3D revelation principle and WPF platform is the true image. Compared with conventional 3D display, this system has the naked eye 3D display, so the viewer is no need to wear 3D glasses and 3D display can be achieved .At the same time, this system has a 360-degree holographic image display. The system is designed by using WPF 3D image, which makes it easy to produce 3D images.

983 A novel three-dimensional image display system for transurethral surgery

2015 ◽  
Vol 14 (2) ◽  
pp. e983-e983b
Author(s):  
S. Yoshida ◽  
T. Fukuyo ◽  
M. Ito ◽  
M. Tatokoro ◽  
M. Yokoyama ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
Display System ◽  
Dimensional Image

Characteristics of pixel arrangements in various rhombuses for full-parallax three-dimensional image generation

2006 ◽  
Vol 45 (12) ◽  
pp. 2689 ◽  
Author(s):  
Jung-Young Son ◽  
Vladmir V. Saveljev ◽  
Kae-Dal Kwack ◽  
Sung-Kyu Kim ◽  
Min-Chul Park
Keyword(s):  
Three Dimensional ◽  
Image Generation ◽  
Dimensional Image

scholarly journals Three-dimensional image display in medicine

1990 ◽  
Vol 3 (2) ◽  
pp. 69-80 ◽  
Author(s):  
Nicholas J. Mankovich ◽  
Douglas R. Robertson ◽  
Andrew M. Cheeseman
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
Dimensional Image

Floating three-dimensional image display using micro-mirror array imaging element

2015 ◽  
Author(s):  
Daisueke Miyazaki ◽  
Yuki Maeda ◽  
Satoshi Maekawa
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
Dimensional Image ◽  
Array Imaging

scholarly journals Three-dimensional image display without special eyeglasses: observation of magnetic resonance angiography using the stereoscopic liquid crystal display

2001 ◽  
Vol 14 (3) ◽  
pp. 111-116 ◽  
Author(s):  
Akiko Sawaki ◽  
Kazuhiro Shimamoto ◽  
Tsuneo Ishiguchi ◽  
Takeo Ishigaki ◽  
Sadayuki Sakuma ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Liquid Crystal Display ◽  
Three Dimensional ◽  
Image Display ◽  
Dimensional Image

Fast 3D image reconstruction algorithm based on artificial intelligence technology

2021 ◽  
pp. 002072092098504
Author(s):  
An Weigang ◽  
Pan Jinxiao
Keyword(s):  
Artificial Intelligence ◽  
High Resolution ◽  
Image Reconstruction ◽  
Three Dimensional ◽  
Feature Analysis ◽  
3D Image ◽  
3D Images ◽  
Dimensional Image ◽  
Fine Grained ◽  
3D Image Reconstruction

In order to improve the 3D reconstruction capability of high-resolution fine-grained 3D images, a fast 3D image reconstruction algorithm based on artificial intelligence technology is proposed. The cross-gradient sharpening detection method is used to collect features and extract information from high-resolution fine-grained three-dimensional images, and establish an edge contour feature detection model for high-resolution fine-grained three-dimensional images. Combining the salient feature analysis method and the subspace feature analysis method to cluster and analyze the high-resolution fine-grained three-dimensional image. In the artificial intelligence environment, the saliency of the three-dimensional image is detected and analyzed, and the multi-dimensional segmentation and gray histogram of the high-resolution fine-grained three-dimensional image are reconstructed through the subspace segmentation method. According to the reconstruction results of the gray histogram, fast 3D image reconstruction and image fusion processing are performed. Finally, the accurate detection and recognition of the reconstructed image is realized. The simulation results show that this method has a good effect on 3D image reconstruction, and the time cost of image reconstruction is relatively short. It improves the recognition and feature analysis capabilities of high-resolution fine-grained 3D images, and has good application value in the reconstruction, detection and recognition of high-resolution fine-grained 3D images.

Adaptive defect detection of 3D image of nano CT based on wavelet decomposition

2021 ◽  
pp. 1-15
Author(s):  
Shirong Zhang ◽  
Lian Wu
Keyword(s):  
Defect Detection ◽  
Wavelet Decomposition ◽  
Detection Method ◽  
Design Method ◽  
Three Dimensional ◽  
Image Sequence ◽  
Adaptive Detection ◽  
3D Image ◽  
Dimensional Image ◽  
Image Defect

The defect detection of 3D image of nano CT under different interference has the phenomenon of prominent dislocation. Therefore, an adaptive detection method of 3D image defect of nano CT based on wavelet decomposition is proposed. Analyze the noise of three-dimensional image of nano CT, determine the mixed filtering of image sequence according to the different noise properties, evaluate the mixed filtering of image sequence, complete the preprocessing of three-dimensional image of nano CT, fuse the three-dimensional image of nano CT decomposed by wavelet after preprocessing, enhance the image after decomposition, and realize the defect adaptive detection through the characteristics of wavelet decomposition. The experimental results show that the design method can effectively detect the interference and solve the problems of traditional methods.

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