机构

• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [1]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [3]
• 期刊论文 [2]

发表日期

• 2017 [1]
• 2013 [1]
• 2011 [1]
• 2010 [2]

学科主题

• spectrosco... [1]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Convex Euclidean distance embedding for collaborative position localization with NLOS mitigation 期刊论文  OAI收割 COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2017, 卷号: 66, 期号: 1, 页码: 187-218 作者:  Ding, Chao;  Qi, Hou-Duo   |  收藏  |  浏览/下载：25/0  |  提交时间：2018/07/30 Euclidean distance matrix  Collaborative localization  Non-line of sight (NLOS)  Augmented Lagrangian  Alternating direction method of multipliers (ADMM)   A shape context based Hausdorff similarity measure in image matching 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:   收藏  |  浏览/下载：36/0  |  提交时间：2013/12/26 The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.   The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine 期刊论文  OAI收割 spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 5, 页码: 1357-1360 作者:  Wei Jun-xia;  Xiangli Bin;  Gao Xiao-hui;  Duan Xiao-feng 收藏  |  浏览/下载：22/0  |  提交时间：2011/09/30 K-means  Euclidean distance method  Spectral angle cosine method  Multi-spectra   The algorithm of extracting energy curve from X-ray coherent scatter images (EI CONFERENCE) 会议论文  OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者:  Liu J.;  Liu J.;  Liu J. 收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25 This paper presents a new method to calculate the Euclidean distance among pixels by taking the gray value of a pixel as the distance weight. The energy distribution curve extracted from coherent scatter images with this method. The signal value of the curve has been intensified and the noise has been reduced effectively. 2010 IEEE.   Image registration based on log-polar transform and SIFT features (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者:  Liu Y.;  Liu Y.;  Liu Y. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 This paper describes a novel image registration method that combines log-polar transform and SIFT to recover similarity transformations (rotation/ scale/ translation).We extracts SIFT feature points in the two images firstly. Then  we use threshold Euclidean distance to coarsely match the feature points. After that  the log-polar transform is applied to compute the rotation and scale parameters. And we can obtain the translation parameter by the location relationship of the feature points. 2010 IEEE.