Full-parallax and high-quality multiview 3D image acquisition method using camera slider

2018 ◽  
Vol 2018 (4) ◽  
pp. 411-1-411-6
Author(s):  
Byeong-Jun Kim ◽  
Ki-Chul Kwon ◽  
Jae-Min Lee ◽  
Young-Tae Lim ◽  
Nam Kim
2013 ◽  
Vol 313-314 ◽  
pp. 1197-1200
Author(s):  
Qi Jian Sun ◽  
Zheng Ma

Capturing an iris image rapidly is required for iris image acquisition embedded system. For the traditional method, an iris image must firstly pass through the quality evaluation, which is complex, so the acquisition speed is very slow. This paper described an iris acquisition embedded system, and a new capturing method. The system includes an DSP DM642, and some relevant peripherals. When an image is acquired, it is filtered by the capture-control function, if passed then be stored the image, until capturing the assigned amount. Using this method, we can rapidly capture the high quality iris images at about 0.8s, and 83% of the stored images can be used for the next procedure. At the same time, it is convenient for the user to capture.


2020 ◽  
pp. 71-126

This chapter covers all aspects of transthoracic examination, including patient information, preparing machine and probe, probe handling and image quality, 2D image acquisition, 3D image acquisition, multiplane image acquisition, data acquisition, parasternal long axis view, parasternal right ventricle inflow view, parasternal right ventricle outflow view, parasternal short axis (aortic) view, parasternal short axis (mitral) view, parasternal short axis (ventricle) views, parasternal 3D views, apical 4-chamber view, apical 5-chamber view, apical 2-chamber view, apical 3-chamber view, apical 3D views, subcostal views, inferior vena cava view, abdominal aorta view, suprasternal view, right parasternal view, and standard examination.


Author(s):  
Hang Fan ◽  
Yangui Zhou ◽  
Haowen Liang ◽  
Jiahui Wang ◽  
Peter Krebs ◽  
...  

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 624
Author(s):  
Rafal Doroz

The paper proposes a method of automatic knuckle image acquisition for continuous verification systems. The developed acquisition method is dedicated for verification systems in which the person being verified uses a computer keyboard. This manner of acquisition enables registration of the knuckle image without interrupting the user’s work for the time of acquisition. This is an important advantage, unprecedented in the currently known methods. The process of the automatic location of the finger knuckle can be considered as a pattern recognition approach and is based on the analysis of symmetry and similarity between the reference knuckle patterns and live camera image. The effectiveness of the aforesaid approach has been tested experimentally. The test results confirmed its high effectiveness. The effectiveness of the proposed method was also determined in a case where it is a part of a multi-biometric method.


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