DocumentCode :
231830
Title :
Markless augmented reality registration algorithm based on ORB
Author :
Yuanyuan Du ; Zhenjiang Miao ; Yigang Cen
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
1236
Lastpage :
1240
Abstract :
The image registration technique is very important in the image processing and computer vision field, and widely used in object recognition, image analysis and target detection. The paper presents a markless augmented reality system for natural scene restoration through which we can see the original appearance of the destructed scene. Based on the system, we put forward a mark-less image registration algorithm based on ORB algorithm. The method uses the ORB algorithm to extract the image feature points and feature descriptors, then eliminates the error matching by using random sampling consistency algorithm, finally obtains the registration information by the improved homography matrix. Experiments show that this method has a better real-time performance in image registration, reliability and positioning.
Keywords :
augmented reality; computer vision; feature extraction; image matching; image registration; image restoration; image sampling; matrix algebra; natural scenes; random processes; ORB algorithm; computer vision; error matching; homography matrix; image feature descriptor extraction; image feature point extraction; image processing; markless augmented reality image registration algorithm; natural scene restoration; random sampling consistency algorithm; Algorithm design and analysis; Augmented reality; Computers; Feature extraction; Image matching; Image registration; Real-time systems; Homograph; Image Registration; Markless AR; ORB Algorithm; RANSAC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015197
Filename :
7015197
Link To Document :
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