Abstract
Recently, vehicle classification has become very important in the field of intelligent transportation. The methods based on 3d model can play a better role for it contains more information from any viewing angles than 2d images. This paper presents a method to reconstruct the three-dimension model of vehicles in real-time when they get through our special device which is composed of two parts: a laser scanner and a camera. The main algorithm can be summarized as two parts: data preparation with mixed calibration and 3d model creating with data synthesis. The 3d vehicle model consists of three parts: vertices, texture, and triangle connection structure. The final result is demonstrated that our method can reconstruct the 3d vehicle model fast and accurately.
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Li, D., Wang, W., Wei, J., Wu, Z., Mei, L. (2014). Real-Time 3D Vehicle Reconstruction with 1D Laser Scanner and Monocular Camera. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_55
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DOI: https://doi.org/10.1007/978-3-642-55038-6_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55037-9
Online ISBN: 978-3-642-55038-6
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