Test Methods for Stability of Digital Camera System

Author(s):  
Ma Kaifeng
IEEE Micro ◽  
1998 ◽  
Vol 18 (3) ◽  
pp. 8-15 ◽  
Author(s):  
E.R. Fossum

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Na Liu

Objective. To explore the application of 3D image technology in motor and sensory nerve classification. Methods. A total of 200 sections of the 5cm-long popliteal fossa peroneal nerve from adult volunteers were cut and frozen. The slices were 10 m thick, and the interval between the slices was 0.25 mm. Acetylcholinesterase histochemical staining was used to observe the changes of nerve bundles under the microscope. The stained sections were transformed into digital images by the digital camera system, and the images were stitched to obtain a two-dimensional panoramic image 100 times magnified. The properties of the functional bundles were manually judged. Using Amira 3.1 three‐dimensional reconstruction software to realize the three-dimensional reconstruction and visualization of nerve can not only accurately perceive the complex three-dimensional surface structure of nerve, but also arbitrarily display, rotate, scale, and segment the three-dimensional structure inside nerve, and carry out three-dimensional measurement in time. It has made preliminary achievements in brachial plexus, lumbosacral plexus, neural stem functional bundle (group), and intramuscular nerve routing and distribution, including the regeneration process of sensory nerve and three-dimensional reconstruction and visualization of composite tissue containing sensory nerve. Conclusion. Based on histology and computer technology, the functional band of short peroneal nerve can be reconstructed in 3D, which provides a feasible basis for the three-dimensional reconstruction of the functional band of the long peripheral nerve.


2010 ◽  
Vol 5 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Hyung Tae Kim ◽  
Sang Bong Kim ◽  
Jong Sik Go ◽  
Yang Dam Eo ◽  
Byoung Kil Lee

2015 ◽  
Vol 30 (1) ◽  
pp. 103-108
Author(s):  
汤伟 TANG Wei ◽  
刘慧忠 LIU Hui-zhong ◽  
连钰洋 LIAN Yu-yang ◽  
王震 WANG Zhen ◽  
裴之勇 PEI Zhi-yong
Keyword(s):  

1993 ◽  
Author(s):  
Alan D. Conder ◽  
Raymond V. Mitchell ◽  
Hal F. Schulte

2010 ◽  
Vol 160-162 ◽  
pp. 750-755
Author(s):  
Yu Kun Zhao ◽  
Ji Hong Yang ◽  
Qing An Li

Rapid drawdown of water level is one of the most important factors that influencing the embankment stability. Based on the principle of geomechanical model test and hydroaulic model test methods, the model test was performed to study Yellow River downstream embankment instability induced by rapid drawdown of water level. The slope models with geometric scale of 1:25, 1:45, 1:62.5 were constructed in the transparent plexiglass model box with 1.6m long, 0.8m wide and 0.6m high. Changes on the slope were recorded during water level decline at different velocity by digital camera and slope tracer etc. The model test results showed that during the rapid drawdown process, there was only small cracks and not slippage in advance; when the water level dropped to a certain height, the sliding distance increased suddenly, which showed that the rate of water level decline was behind the river water, and the slope weight and downslope hydrodynamic pressure by the saturation line in slope body were higher than water lever exceeds the sliding force in a very short period of time, which caused landslide; after the sliding body appearing, slide was continuous and not mutation.


Author(s):  
Ying-Hao Yu ◽  
◽  
Chau Vo-Ky ◽  
Sarath Kodagoda ◽  
Quang Phuc Ha ◽  
...  

Distance measurement methodologies based on the digital camera usually require time-consuming calibration procedures, some are even derived from complicated image processing algorithms resulting in low picture frame rates. In a dynamic camera system, due to the unpredictability of intrinsic and extrinsic parameters, odometric results are highly dependent on the quality of extra sensors. In this paper, a simple and efficient algorithm is proposed for relative distance estimation in robotic active vision by using a monocular digital camera. Accuracy of the estimation is achieved by judging the 2D perspective projection image ratio of the robot labels obtained on a TFT-LCD (Thin Film Transistor – Liquid Crystal Display) monitor without the need of any additional sensory cost and complicated calibration effort. Further, the proposed algorithm does not contain any trigonometric functions so that it can be easily implemented on an embedded system using the Field Programmable Gate Array (FPGA) technology. Experimental results are included to demonstrate the effectiveness of the technique.


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