[1]谭松,高珏,刘有科,等. 基于对角线偏移的SURF算子改进[J].计算机技术与发展,2014,24(11):1-4.
　TAN Song,GAO Jue,LIU You-ke,et al. An Improvement of SURF Based on Diagonal Offset[J].,2014,24(11):1-4.
点击复制

 基于对角线偏移的SURF算子改进()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年11期
页码:
1-4
栏目:
智能、算法、系统工程
出版日期:
2014-11-10

文章信息/Info

Title:
 An Improvement of SURF Based on Diagonal Offset
文章编号:
1673-629X（2014）11-0001-04
作者:
 谭松; 高珏; 刘有科; 许华虎
上海大学
Author(s):
 TAN Song; GAO Jue; LIU You-ke; XU Hua-hu
关键词:
 ;  ; 加速鲁棒特征; 特征提取; 光照; 对角线偏移
Keywords:
 ; SURF; feature extraction; illumination; diagonal-offset
分类号:
TP301.6
文献标志码:
A
摘要:
 由于SURF算子对光照仅有部分的不变性，从而在光照条件变化大的环境下可能会导致提取的特征数与匹配数减少的不足。为了克服该不足，文中深入分析光照变化对SURF算子对特征提取的影响，并提出利用对角线偏移模型对SURF算子进行改进，统一输入图像的光照信息，使得改进后的特征算子对光照的变化具有更强的不变性，从而使得改进后的算法在较大光照变化的条件下依旧能够稳定地提取特征点及匹配。
Abstract:
 Since SURF only is partly invariant for illumination,if it is applied into the variable illumination changing scene,the perform-ance of features and matching will decrease highly. In order to overcome the drawback,make a deeper analysis about how the illumination influences the performance of SURF,and improve the original SURF with uniform illumination by combining the diagonal-offset model. The improved algorithm has a stronger ability about invariant for illumination,so that can get stable feature points even under a big illumi-nation changing and match.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(11):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(11):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(11):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(11):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(11):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(11):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(11):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(11):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(11):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(11):47.

更新日期/Last Update: 2015-04-03