Image Mosaicing Algorithm for Dynamic Scenes Using Multi-Scaled PHOG Feature and Optimal Seam
ZOU Li-Hui1,2, CHEN Jie1, ZHANG Juan1, LU Jing-Hua1
1.Key Laboratory of Complex System Intelligent Control and Decision of Minstry of Education,School of Automation,Beijing Institute of Technology,Beijing 100081 2.School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083
Abstract：Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.
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2012, Vol. 25 
