@inproceedings{c96dc0f54d854a4c9028e33643770cf4,
title = "Vehicle make and model recognition by keypoint matching of pseudo frontal view",
abstract = "We propose a vehicle make and model recognition method for the smart phone, and implemented it onto them. Our method identifies the make and model from the variety of viewpoints while the conventional methods for VMMR work only for the frontal or rear view images. This method enables the users to take the pictures from a certain range of angles. Our method uses SIFT, that has scale and rotation invariance to solve the alignment issue. It creates the pseudo frontal view images by homography matrix and extracts the keypoints. Homography matrix is calculated with the position of the license plate. Our experimental result shows our method enables to recognize up to 60-degree angle.",
keywords = "Image Retrieval, Keypoint Matching, SIFT, Vehicle Make and Model Recognition, View Invariance",
author = "Yukiko Shinozuka and Ruiko Miyano and Takuya Minagawa and Hideo Saito",
year = "2013",
month = nov,
day = "29",
doi = "10.1109/ICMEW.2013.6618332",
language = "English",
isbn = "9781479916047",
series = "Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013",
booktitle = "Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013",
note = "2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 ; Conference date: 15-07-2013 Through 19-07-2013",
}