Using Fisher Kernel on 2D-Shape Identification

机译：在2D形状识别中使用Fisher内核

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper proposes to use the Fisher kernel for planar shape recognition. A synthetic experiment with artificial shapes has been built. The difference among shapes is the number of vertexes, links between vertexes, size and rotation. The 2D-shapes are parameterized with sweeping angles in order to obtain scale and rotation invariance. A Hidden Markov Model is used to obtain the Fisher score which feeds the Support Vector Machine based classifier. Noise has been added to the shapes in order to check the robustness of the system against noise. Hit ratio score over 99%, has been obtained, which shows the ability of the Fisher kernel tool for planar shape recognition.

机译：本文提出将Fisher核用于平面形状识别。已经建立了具有人工形状的合成实验。形状之间的差异是顶点数量，顶点之间的链接，大小和旋转。使用扫角对2D形状进行参数化，以获得比例和旋转不变性。使用隐马尔可夫模型来获取Fisher分数，该分数将馈入基于支持向量机的分类器。噪声已添加到形状中，以检查系统对噪声的鲁棒性。命中率得分超过99％，这表明Fisher核工具可用于平面形状识别。

著录项

来源
《International Conference on Computer Aided Systems Theory(EUROCAST 2007); 20070212-16; Las Palmas de Gran Canaria(ES)》|2007年|P.740-746|共7页
会议地点 Las Palmas de Gran Canaria(ES)
作者
Carlos M. Travieso; Juan C. Briceno; Miguel A. Ferrer; Jesus B. Alonso;
展开▼
作者单位

CEntro Tecnologico para la Innovation en Comunicaciones (CETIC) Dpto. de Senates y Comunicaciones, Universidad de Las Palmas de Gran Canada Campus de Tafira, E35017, Las Palmas de Gran Canada, Spain;

Escuela de Ciencias de la Computation e Informatica. U;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类机器辅助技术;
关键词
2D-shape recognition; 2D-shape; hidden markov models (HMM); support vector machines (SVM); fisher kernel;

机译：2D形状识别; 2D形状;隐马尔可夫模型（HMM）;支持向量机（SVM）; fisher内核;

相似文献

外文文献
中文文献
专利

1. Quantitative Analysis of Kernel Principal Components and Kernel Fishers Based Face Recognition Algorithms Using Hybrid Gaborlets [J] . B. Bhaskar, P.S. Anushree, S. Divya Shree, Procedia Computer Science . 2015,第1期

机译：基于混合Gaborlet的核主成分和基于核Fisher的人脸识别算法的定量分析
2. Quantitative Analysis of Kernel Principal Components and Kernel Fishers Based Face Recognition Algorithms Using Hybrid Gaborlets [J] . B. Bhaskar, P.S. Anushree, S. Divya Shree, Procedia Computer Science . 2015,第1期

机译：基于混合Gaborlet的核主成分和基于核Fisher的人脸识别算法的定量分析
3. Person re-identification by kernel null space marginal Fisher analysis [J] . Dong Husheng, Lu Ping, Liu Chunping, Pattern recognition letters . 2018,第MAY1期

机译：通过核零空间边际Fisher分析进行人员重新识别
4. Using Fisher Kernel on 2D-Shape Identification [C] . Carlos M. Travieso, Juan C. Briceno, Miguel A. Ferrer, International Conference on Computer Aided Systems Theory . 2007

机译：在2D形识别上使用Fisher内核
5. Scalable Kernel Learning, Tensors in Community Identification, and Robust Adversary Detection in Deep Neural Networks [D] . ?Sheikholeslami, Fatemeh 2019

机译：可扩展的核学习，社区标识张量和强大的敌手检测深层神经网络
6. Emotion Recognition from Single-Trial EEG Based on Kernel Fishers Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine [O] . Yi-Hung Liu, Chien-Te Wu, Wei-Teng Cheng, 2014

机译：基于核Fisher情绪模式和不对称拟共形核支持向量机的单次EEG情绪识别
7. Quantitative Analysis of Kernel Principal Components and Kernel Fishers Based Face Recognition Algorithms Using Hybrid Gaborlets [O] . Bhaskar B., Anushree P.S., Shree S. Divya, 2015

机译：基于混合Gaborlet的核主成分和基于核Fisher的人脸识别算法的定量分析

Using Fisher Kernel on 2D-Shape Identification

摘要

著录项

相似文献

相关主题

期刊订阅