Image improvement and three-dimensional reconstruction using holographic image processing

1977 ◽  
Vol 65 (1) ◽  
pp. 39-62 ◽  
Author(s):  
G.W. Stroke ◽  
M. Halioua ◽  
F. Thon ◽  
D.H. Willasch
Keyword(s):  
Image Processing ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Holographic Image ◽  
Dimensional Reconstruction ◽  
Image Improvement

Three-Dimensional Reconstruction of Bubble Distribution in Two-Phase Flows With Metaball Technique

2003 ◽  
Author(s):  
Toru Furukawa ◽  
Yassin A. Hassan ◽  
Javier Ortiz-Villafuerte
Keyword(s):  
Image Processing ◽  
Three Dimensional ◽  
Bubbly Flows ◽  
Reconstruction Method ◽  
Three Dimensional Reconstruction ◽  
Two Phase Flows ◽  
Two Phase ◽  
Real Experiment ◽  
Bubble Distribution ◽  
Dimensional Reconstruction

A three-dimensional reconstruction method using shadowgraphy for complex shaped bubbly flows is proposed. Bubble distribution is represented by a metaball object. Metaballs have the capability of representing smooth but complex surfaces. The fundamental strategy is searching the optimal metaball object equivalent to the original bubble distribution. The method does not assume that every bubble has a certain size or shape, therefore, intensive image processing on shadow images is not required. This method has applied to both synthetic bubble shadow images and those obtained from a real experiment, and the results indicate the potential ability of bubble reconstruction.

scholarly journals Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091000
Author(s):  
Jiaofei Huo ◽  
Xiaomo Yu
Keyword(s):  
Image Processing ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Extraction Algorithm ◽  
Dimensional Reconstruction

With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

Robotic Microscope to Study the Kinematics of Morphogenetic Movements in Amphibian Embryos

2004 ◽  
Author(s):  
G. Wayne Brodland ◽  
Jim H. Veldhuis
Keyword(s):  
Image Processing ◽  
Strain Rate ◽  
Developmental Stage ◽  
Three Dimensional ◽  
Time Lapse ◽  
Neural Plate ◽  
Three Dimensional Reconstruction ◽  
Decomposition Techniques ◽  
Custom Software ◽  
Dimensional Reconstruction

A robotic microscope system was developed to collect time-lapse images of live embryos from arbitrary viewing angles. Images were collected from 63 viewing angles and custom software was used to make a three-dimensional reconstruction of the surface of the embryo. The motion of surface points was tracked by image processing, deformation tensors F were calculated from the point correspondences, and decomposition techniques were utilized to extract principal strain magnitudes and directions from F. The highest observed strain rate was 28±5% per hour, along the midline of the neural plate during developmental stage 14, while the greatest contractile strain rate was −35±5% per hour, normal to the embryo midline during stage 15.

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