scholarly journals Implementation of a multiview passive-stereo-imaging system with SoC technology

2019 ◽  
Author(s):  
Richard Fütterer ◽  
Mathias Schellhorn ◽  
Gunther Notni
Keyword(s):  
Imaging System ◽  
Stereo Imaging ◽  
Passive Stereo

scholarly journals Development of an X-ray real-time stereo imaging technique using synchrotron radiation

2011 ◽  
Vol 18 (4) ◽  
pp. 569-574 ◽  
Author(s):  
Masato Hoshino ◽  
Kentaro Uesugi ◽  
James Pearson ◽  
Takashi Sonobe ◽  
Mikiyasu Shirai ◽  
...  
Keyword(s):  
Synchrotron Radiation ◽  
Real Time ◽  
Imaging System ◽  
Silicon Crystal ◽  
Three Dimensional ◽  
Stereo Image ◽  
Large Field ◽  
Depth Information ◽  
Stereo Imaging ◽  
X Ray

An X-ray stereo imaging system with synchrotron radiation was developed at BL20B2, SPring-8. A portion of a wide X-ray beam was Bragg-reflected by a silicon crystal to produce an X-ray beam which intersects with the direct X-ray beam. Samples were placed at the intersection point of the two beam paths. X-ray stereo images were recorded simultaneously by a detector with a large field of view placed close to the sample. A three-dimensional wire-frame model of a sample was created from the depth information that was obtained from the lateral positions in the stereo image. X-ray stereo angiography of a mouse femoral region was performed as a demonstration of real-time stereo imaging. Three-dimensional arrangements of the femur and blood vessels were obtained.

scholarly journals Stereo Imaging Using Hardwired Self-Organizing Object Segmentation

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5833
Author(s):  
Ching-Han Chen ◽  
Guan-Wei Lan ◽  
Ching-Yi Chen ◽  
Yen-Hsiang Huang
Keyword(s):  
Neural Network ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Imaging System ◽  
Object Segmentation ◽  
Hierarchical Architecture ◽  
Absolute Difference ◽  
Stereo Imaging ◽  
Som Neural Network ◽  
Self Organizing

Stereo vision utilizes two cameras to acquire two respective images, and then determines the depth map by calculating the disparity between two images. In general, object segmentation and stereo matching are some of the important technologies that are often used in establishing stereo vision systems. In this study, we implement a highly efficient self-organizing map (SOM) neural network hardware accelerator as unsupervised color segmentation for real-time stereo imaging. The stereo imaging system is established by pipelined, hierarchical architecture, which includes an SOM neural network module, a connected component labeling module, and a sum-of-absolute-difference-based stereo matching module. The experiment is conducted on a hardware resources-constrained embedded system. The performance of stereo imaging system is able to achieve 13.8 frames per second of 640 × 480 resolution color images.

scholarly journals A high-throughput stereo-imaging system for quantifying rape leaf traits during the seedling stage

Plant Methods ◽  
2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Xiong Xiong ◽  
Lejun Yu ◽  
Wanneng Yang ◽  
Meng Liu ◽  
Ni Jiang ◽  
...  
Keyword(s):  
High Throughput ◽  
Imaging System ◽  
Leaf Traits ◽  
Seedling Stage ◽  
Stereo Imaging

Optimum Stereo Tilt Facilities on the AEI Mk II High Voltage Electron Microscope

1973 ◽  
Vol 31 ◽  
pp. 28-29
Author(s):  
B.E.P. Beeston
Keyword(s):  
High Voltage ◽  
Imaging System ◽  
Vertical Axis ◽  
Stereo Pair ◽  
List Type ◽  
Stereo Imaging ◽  
Voltage Electron ◽  
Viewing Screen ◽  
Optimum Specimen ◽  
The Individual

Stereo-imaging is essential to the full utilization of the increased specimen penetration available in the high voltage microscope. Biological specimens 0.25–5 μm thick, depending upon the density and specificity of staining, and metals and materials 0.1–7 μm thick, depending upon their density can be penetrated at adequate resolution at 1000-1200 kV. However, the considerable amount of overlapping detail observed in such specimens makes stereo-imaging essential for the full elucidation of the internal structure. In order that the final stereo pair of micrographs may be readily ‘fused’ by the observer to reveal optimum specimen ‘depth’, a number of requirements should be met: 1) The stereo tilt axis should be vertical when the two prints are laid side-by-side on the stereo viewer. This requirement is always met in the EM7 Mk II as the microscope incorporates a non-rotational imaging system for magnifications 4,000–1,000,000 X. By balancing the individual image rotations of the four imaging lenses against one another, a total rotation of zero between the specimen and the image is maintained. Now by tilting the specimen in the ±45° front-loading side-entry tilt rod, the image always ‘tilts’ about a vertical axis on the viewing screen, parallel to the long edge of a 6×9 cm sheet in the film camera.2) The magnification of the two micrographs should be as similar as possible.3) The two micrographs should be in as closely similar an orientation as possible.4) The focus of the two micrographs should be as similar as possible. (The deviations in 2), 3) and 4) which can be accepted have been discussed in detail by Willis and Julesz).

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