A solution model of System's Interior Orientation Parameters (SIOP) of the multi-digital camera system based on the DLT algorithm

2011 ◽  
Author(s):  
Tao Sun ◽  
Junyong Fang ◽  
Xue Liu ◽  
Jinnian Wang ◽  
Qingxi Tong
Keyword(s):  
Digital Camera ◽  
Solution Model ◽  
Camera System ◽  
Orientation Parameters

Digital camera system on a chip

IEEE Micro ◽  
1998 ◽  
Vol 18 (3) ◽  
pp. 8-15 ◽  
Author(s):  
E.R. Fossum
Keyword(s):  
Digital Camera ◽  
Camera System ◽  
System On A Chip

scholarly journals Application of 3D Image Technology in Motor and Sensory Nerve Classification

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Na Liu
Keyword(s):  
Peroneal Nerve ◽  
Three Dimensional ◽  
Sensory Nerve ◽  
Digital Camera ◽  
Histochemical Staining ◽  
Dimensional Structure ◽  
3D Image ◽  
Three Dimensional Reconstruction ◽  
Camera System ◽  
Dimensional Reconstruction

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.

Building 3D Geospatial Information Using Airborne Multi-Looking Digital Camera System

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

Design of industrial digital camera system based on FPGA

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):  
Digital Camera ◽  
Camera System

Fast-frame-rate 512 x 512 CCD digital camera system

1993 ◽  
Author(s):  
Alan D. Conder ◽  
Raymond V. Mitchell ◽  
Hal F. Schulte
Keyword(s):  
Digital Camera ◽  
Frame Rate ◽  
Camera System

FPGA-Based Relative Distance Estimation for Indoor Robot Control Using Monocular Digital Camera

2010 ◽  
Vol 14 (6) ◽  
pp. 714-721 ◽  
Author(s):  
Ying-Hao Yu ◽  
◽  
Chau Vo-Ky ◽  
Sarath Kodagoda ◽  
Quang Phuc Ha ◽  
...  
Keyword(s):  
Embedded System ◽  
Liquid Crystal Display ◽  
Thin Film Transistor ◽  
Digital Camera ◽  
Distance Estimation ◽  
Active Vision ◽  
Relative Distance ◽  
Camera System ◽  
Require Time ◽  
Field Programmable

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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