Graph models applied to specification, simulation, allocation, and scheduling of real-time computer vision applications

2000 ◽  
Vol 11 (5) ◽  
pp. 287-291
Author(s):  
F. Torres ◽  
F. A. Candelas ◽  
S. T. Puente ◽  
F. G. Ortiz
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Graph Models ◽  
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.

scholarly journals Fast and memory efficient de-hazing technique for real-time computer vision applications

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Prathap Soma ◽  
Ravi Kumar Jatoth ◽  
Hathiram Nenavath
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Computer Vision Applications ◽  
Memory Efficient
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