Towards OpenVL: Improving Real-Time Performance of Computer Vision Applications

2008 ◽  
pp. 195-216 ◽  
Author(s):  
Changsong Shen ◽  
James J. Little ◽  
Sidney Fels
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Time Performance ◽  
Computer Vision Applications

Vision-Based Hand Tracking and Gesture Recognition for Augmented Assembly System

2008 ◽  
Vol 392-394 ◽  
pp. 1030-1036 ◽  
Author(s):  
Yue Ming Wu ◽  
Han Wu He ◽  
J. Sun ◽  
T. Ru ◽  
De Tao Zheng
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Gesture Recognition ◽  
Hand Tracking ◽  
Assembly System ◽  
Time Performance ◽  
Traditional Approaches

A real time hand tracking and gesture recognition approach which can deal with dynamic backgrounds is presented. This approach is based on computer vision. It segments hand from dynamic backgrounds using the color-based and appearance-based methods. Then, it locates the hand according to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand. In comparison with the traditional approaches, it provides a good real time performance, is easy to realize, does not require a stationary camera and is not sensitive with intensity different because its gesture recognition does not depend on the templates. Moreover, an augmented assembly system using the presented approach is described. The experiment result of the augmented assembly system demonstrated the effectiveness and robustness of our approach.

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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