DocumentCode
3661743
Title
A Robust Image Mosaic Method Based on Graph-Model Optimization
Author
Wang Zhicheng;Zhu Zewei;Zhao Weidong
Author_Institution
CAD Res. Center, Tongji Univ., Shanghai, China
fYear
2014
Firstpage
382
Lastpage
387
Abstract
In this paper, we introduce an automatic image mosaic method based on graph-model, which is built with matching mean square error, and graph theory method is used to minimize the global error. We apply optimized Dijkstra algorithm to speed up the path-finding algorithm. As a result, the quality of the output panorama is quite good and the proposed algorithm gets the lowest error compared with other methods.
Keywords
"Transforms","Image edge detection","Feature extraction","Noise","Robustness","Optimization","Mean square error methods"
Publisher
ieee
Conference_Titel
Virtual Reality and Visualization (ICVRV), 2014 International Conference on
Type
conf
DOI
10.1109/ICVRV.2014.48
Filename
7281096
Link To Document