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ImFusion: Boosting Two-Stage 3D Object Detection via Image Candidates 期刊论文  OAI收割
IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 241-245
作者:  Tao, Manli;  Zhao, Chaoyang;  Wang, Jinqiao;  Tang, Ming
  |  收藏  |  浏览/下载：29/0  |  提交时间：2024/03/26
Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文  OAI收割
2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China
作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载：149/0  |  提交时间：2013/03/25
A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates  in addition  firstly  on the basis of correct recognition  we segment the object regions in them and compute their covariant matrices. Secondly  it can estimate affine parameters exactly  normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants  and the estimated error is within 3%. 2008 IEEE.  and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance  if more than one value is larger than threshold  take the corresponding templates as candidates  and compute affine matrix between real-time image and every candidate. Finally  transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination  with low computational complexity  and it can realize recognition of different affine objects