Title :
Real-Time Blur Rendering of Moving Objects in an Augmented Reality Environment
Author :
Zhao Yue ; Li Jing Jiao ; Li Zhen Ni ; Ma Ji
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
When moving objects occur a large number of blurred situations, the augmented reality rendering virtual objects can´t consistent with motion blur. As the above problem, we proposed a three-dimensional motion blur rendering virtual objects algorithm. First, an image structure model of motion-blurred template matching was used, which was used to track motion blurred objects. Second, we used the same image structure model to generate blur. We produced motion blur for 3D motion by mixing 2D distorted and 3D rendering. Through experimental comparison, our method generated virtual blurred objects realistically. And our rendering speed was faster than without using OpenGL approximation. Therefore, our method was better performance.
Keywords :
augmented reality; image colour analysis; image matching; image motion analysis; object detection; rendering (computer graphics); augmented reality; image structure model; motion blur rendering virtual object algorithm; template matching; Augmented reality; Cameras; Educational institutions; Rendering (computer graphics); Target tracking; Three-dimensional displays; 3d motion blur target; augmented reality; blur rendering; image structure model; intermediate image;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.136