A real-time high performance edge detector for computer vision applications

2002 ◽  
Author(s):  
F. Alzahrani ◽  
T. Chen
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
High Performance ◽  
Edge Detector ◽  
Computer Vision Applications

AN ANALYTICAL SOLUTION TO THE PERSPECTIVE-N-POINT PROBLEM FOR COMMON PLANAR CAMERA AND FOR CATADIOPTRIC SENSOR

2008 ◽  
Vol 08 (01) ◽  
pp. 135-155 ◽  
Author(s):  
JONATHAN FABRIZIO ◽  
JEAN DEVARS
Keyword(s):  
Computer Vision ◽  
Analytical Solution ◽  
Real Time ◽  
Video Camera ◽  
Coordinate Space ◽  
Point Problem ◽  
Localization Accuracy ◽  
Computer Vision Applications ◽  
Set Of Points ◽  
Intrinsic And Extrinsic Parameters

The Perspective-N-Point problem (PNP) is a notable problem in computer vision. It consists of given N points known in an object coordinate space and their projection onto the image, estimating the distance between the video camera and the set of points. By the use of an unusual formulation, we propose a method to get a strictly analytical solution based on the resolution of linear systems. This solution can be computed instantly and is well adapted to real time computer vision applications. Our approach is general enough to work with a nonlinear sensor like a catadioptric panoramic sensor. To improve the localization accuracy, we also provide a technique to correct geometrical distortion. This algorithm also corrects little errors on intrinsic and extrinsic parameters. Well implemented, this correction can be performed in real time.

Design of Detection System of Traction Motor Commutator Based on Computer Vision

2012 ◽  
Vol 466-467 ◽  
pp. 1290-1294
Author(s):  
Jian Hui Zhang ◽  
Ying Ying Xu
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
High Performance ◽  
Cutting Tool ◽  
Detection System ◽  
Numerical Control ◽  
Traction Motor ◽  
Charge Couple Device Camera ◽  
Localization Signal ◽  
Automatic Detection System

The paper presents a new automatic detection system of DC traction motor commutator, which captures the image of traction motor commutator through CCD (Charge Couple Device) camera in real time, and recognizes the eigenvalue of commutator image by utilizing image processing technology. Meantime, the system takes it as the localization signal of numerical control machine. Therefore, computer vision controls cutting tool working instead of eyes in this system. The system has high-performance of precision and real time proved by experiment, so which has a certain value of practicality.

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