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CORC

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Affine invariant fusion feature extraction based on geometry descriptor and BIT for object recognition 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: Vol.13 No.1, 页码: 57-72
作者:  Yu, Lingli;  Xia, Xumei;  Zhou, Kiajun;  Zhao, Lijun
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/13
feature extraction  image recognition  affine transforms  object recognition  face recognition  edge detection  valuable technology  image recognition  bio-visual mechanism  object recognition method  fusion feature framework  geometry descriptor  double biologically inspired transformation  shape feature  interest detector  contour features  area estimation  affine region detector  area ratio feature vectors  orientation edge detector  local space frequency detector  DBIT feature vectors  weighted fusion strategy  Pearson correlation distance  geometry feature  highly stable recognition accuracy  feature invariance  selectivity  affine invariant fusion feature extraction  affine transformation  viewing angle  distance variations  affine invariant feature extraction  
Vanishing Points in Road Recognition: A Review 会议论文
2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2018-01-01
作者:  Su, Hongyu
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Bionic RSTN invariant feature extraction method for image recognition and its application 期刊论文
IET Image Processing, 2017, 卷号: Vol.11 No.4, 页码: 227-236
作者:  Yu, Lingli;  Zhou, Kaijun;  Yang, Yongliang;  Chen, Haichu
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31
Orientation contrast model for boundary detection 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2014, 卷号: 25, 期号: 5, 页码: 774-784
作者:  Zhang, Hui[1];  Liu, Yi[2];  Xie, Bojun[3];  Yu, Jian[4]
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/21
A new method for main roads description: symmetrical edge orientation histogram 期刊论文
2010, 2010
Tang Liang; Xie Wei-xin; Huang Jian-jun; Huang Jing-xiong
收藏  |  浏览/下载：3/0
Aircraft orientation error correction based on image aided navigation paper (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Tao Z.; Yang L.-M.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25
In allusion to the character of aircraft orientation error in inertial navigation system increasing with its working time and error accumulation  airborne image aided navigation system is imported in inertial navigation system to combine integrated navigation system. To acquire high orientation accuracy and high matching speed a new algorithm based on multi-scale edge detection and generalized point theory is put forward. At first multi-scale edge detection algorithm is adopted to realize airborne image edge detection  then image matching algorithm is used based on generalized point theory is used to eliminate error accumulation of peg-top excursion and accelerometer error to correction aircraft aircraft pose error to increase navigation accuracy of aircraft. To prove the algorithm is effective and robust  simulative experiment is done. The simulative experiment indicated that aircraft orientation accuracy is better than inertial navigation system  and its orientation error is less than 15 meters after airborne image aided navigation correction. 2010 IEEE.  
去隔行算法研究及其FPGA实现 学位论文
2006, 2006
黄敏敏
收藏  |  浏览/下载：1/0  |  提交时间：2016/02/14
PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
Sun H.; Pan Y.; Zhang Y.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
In this paper  the time of feature extraction is faster. By test in low contrast image  2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation  the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.  orientation  and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space  we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm  it can ensure reliable convergence the target  which can improve convergent speed  

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