30 October 2009 A fast feature-based video mosaic
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749549 (2009) https://doi.org/10.1117/12.832759
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
This paper presents a fast method to construct an entire panorama from video sequence. Firstly, SURF, which has good performance in computation time and accuracy, is used to detect features for frames from video streams. Secondly, a novel matching scheme based on hash mapping and the ratio between the Euclidean distance to the nearest and the second nearest neighbors is proposed to match SURF features. As there may be some error matchings generated above, especially in the presence of objects moving, a RANSAC technique is applied to eliminate outliers. Besides, in order to avoid mosaicing all video frames which typically contains significant redundancy, we adaptively identify key frames based on the number of tracked feature points. Finally, the wide field of video image is got by stitching the key frames mapped to a reference coordinate system. Experimental results demonstrate the fast-speed and superior quality of this proposed method.
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Wu Lin, Wu Lin, Jingxin Hong, Jingxin Hong, Hao Zhang, Hao Zhang, Lin Li, Lin Li, } "A fast feature-based video mosaic", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749549 (30 October 2009); doi: 10.1117/12.832759; https://doi.org/10.1117/12.832759
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