DocumentCode :
1791390
Title :
Image Mosaic using ORB descriptor and improved blending algorithm
Author :
Fang Tian ; Ping Shi
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
fYear :
2014
fDate :
14-16 Oct. 2014
Firstpage :
693
Lastpage :
698
Abstract :
This paper presents an image mosaic technique using ORB (oriented FAST and rotated BRIEF) descriptor and an improved blending algorithm. Features of images with overlapping regions are first described by ORB descriptors. This binary descriptor outperforms SIFT and SURF in regard of processing speed. RANSAC algorithm is then applied to reject mismatches. Once the best projective deformation matrix is found, brightness equalization is conducted and an improved weighting function is utilized to blend images and reduce visible artifacts. Experimental results show this approach to be efficient in accounting for image mosaic, and the edge artifacts could be significantly reduced and even completely eliminated with the blending process designed in this paper.
Keywords :
image matching; image segmentation; ORB descriptor; RANSAC algorithm; binary descriptor; binary robust independent elementary features; blending algorithm; brightness equalization; edge artifact reduction; features from accelerated segment test; image mosaic technique; oriented FAST and rotated BRIEF descriptor; projective deformation matrix; visible artifact reduction; weighting function; Algorithm design and analysis; Brightness; Cameras; Feature extraction; Image color analysis; Image edge detection; Robustness; Image Blending; Image Mosaic; ORB Descriptor; RANSAC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/CISP.2014.7003867
Filename :
7003867
Link To Document :
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