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