DocumentCode :
241272
Title :
2×2 Panoramic camera array stitching using edge matching
Author :
Xiaodong Huang ; Shirmohammadi, Shervin ; Yassine, Abdulsalam
Author_Institution :
Discover Lab., Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
1
Lastpage :
10
Abstract :
In this paper, a novel panorama stitching method for Ultra HD images using edge matching is proposed. Our method, which replaces the popular Scale-invariant Feature Transform (SIFT) matching, provides effective solution for panorama stitching involving non-coplanar scenes without using the method of dynamic seam finding to avoid misalignments. We utilize the algorithm of As-Rigid-As-Possible (ARAP) to minimize misalignments by correcting the images during the stitching step. Furthermore, our method can be easily used to stitch panorama videos. In this paper, we present the analysis of the proposed method and provide evidence of its effectiveness in dealing with misalignments through implementation on images captured in a 2×2 panoramic array setting.
Keywords :
image matching; ARAP; HD images; as-rigid-as-possible; edge matching; noncoplanar scenes; panoramic camera array stitching; stitch panorama videos; Arrays; Cameras; Feature extraction; Heuristic algorithms; Image edge detection; Transforms; Videos; Edge Matching; Misalignment minimization; Panoramic Stitching; Ultra HD images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on
Conference_Location :
Gold Coast, QLD
Type :
conf
DOI :
10.1109/ICSPCS.2014.7021058
Filename :
7021058
Link To Document :
بازگشت