9 December 2015 An improved space-based algorithm for recognizing vehicle models from the side view
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Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 98170P (2015) https://doi.org/10.1117/12.2228216
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore
Abstract
Vehicle model matching problem from the side view is a problem meets the practical needs of actual users, but less focus by researchers. We propose a improved feature space-based algorithm for this problem. The algorithm combines the various advantages of some classic algorithms, and effectively combining global and local feature, eliminate data redundancy and improve data divisibility. And finally complete the classification by quick and efficient KNN. The real scene test results show that the proposed method is robust, accurate, insensitive to external factors, adaptable to large angle deviations, and can be applied to a formal application.
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Qian Wang, Qian Wang, Youdong Ding, Youdong Ding, Li Zhang, Li Zhang, Rong Li, Rong Li, Jiang Zhu, Jiang Zhu, Zhifeng Xie, Zhifeng Xie, } "An improved space-based algorithm for recognizing vehicle models from the side view", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170P (9 December 2015); doi: 10.1117/12.2228216; https://doi.org/10.1117/12.2228216
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