搜索资源列表
Attentional-Landmark-Selection
- 将视觉注意力用于同步定位于构图的一篇经典文献，详述了视觉注意力理论及其用于SLAM的具体步骤-A classic literature, visual attention for simultaneous localization composition detailed theory of visual attention and its concrete steps for SLAM
Edit68CMU_pack
- 卡耐基梅隆大学AAM算法中标定人脸上68个标志点的matlab程序-locate the landmark in the face images
ufs2627
- slam代码，扩展卡尔曼滤波，输入时两个轮子的速度以及采集到的Landmark标志点与移动机器人的相对坐标-slam code, extended Kalman filter, the input speed of the two wheels, as well as the acquisition Landmark signs point to the relative coordinates of the mobile robot
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
Retrieving-Web-Images
- 图像方面的顶级期刊IEEE Transcations on Image Processing2013年发表的一篇论文 Landmark Image Super-Resolution by Retrieving Web Images -Landmark Image Super-Resolution by Retrieving Web Images
OpenSURF_version1c
- This function OPENSURF, is an implementation of SURF (Speeded Up Robust Features). SURF will detect landmark points in an image, and describe the points by a vector which is robust against (a little bit) rotation ,scaling and noise. It ca
OpenSURF_version1c
- This code is an implementation of SURF (Speeded Up Robust Features). SURF will detect landmark points in an image, and describe the points by a vector which is robust against (a little bit) rotation,scaling and noise. It can be used in the same way a
GPS_iOS-master
- 通过经纬度来获取地理标志建筑名 可以通过偏移量手动修正正确性-To obtain the geographical landmark name by latitude and longitude
fingerprint
- These routines implement a landmark-based audio fingerprinting system that is very well suited to identifying small, noisy excerpts a large number of items. It is based on the ideas used in the Shazam music matching service, which can identify seemin
aasthana_cvpr2013_code_version_1.0
- 人脸检测和特征点定位源码，2014CVPR-face detect and the landmark detect
PIO
- PIO算法的matlab程序，用于路径自动规划-Inspired by the above homing behaviors of pigeons, a novel bio-inspired swarm intelligence optimizer which is named PIO has been invented in 2014 . In order to idealize some of the homing characteristics of pigeons, two operat
landmark_jason_installation
- 本人编写的landmark2003、landmark r5000、jason82的tar包安装教程，适合地震工作者使用-this is the installation guide of landmark2003、landmark r5000 and jason82 for the .tar method
drtoolbox.tar
- 用于降维的matlab工具包，包括PCA，LDA，LLE，等-Matlab Toolbox for Dimensionality Reduction Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Classical multidimensional scaling (MDS) Sammon mapping Linear Discriminant Analysis (LDA
GPS入门术语大全
- 主要介绍了 GPS的一些基本术语,例如：坐标(coordinate)，路标(Landmark or Waypoint) ，路线(ROUTE) ，前进方向(Heading)，导向(Bearing) ，日出日落时间(Sun set/raise time) ，足迹线(Plot trail) 等
Landmark-recognition
- 读取路标图像，然后对图像预处理，提取特征，训练模板，识别时使用sift匹配识别,还有GUI界面，点击运行以后就可以使用，带有图像库-Read signs image, then the image preprocessing, feature extraction, training templates, identifying matching using sift recognition, as well as the GUI interface, you can click on Run
Alamoutiii_code
- A simple Space Time Code, suggested by Mr. Siavash M Alamouti in his landmark October 1998 paper – A Simple Transmit Diversity Technique for Wireless Communication, offers a simple method for achieving spatial diversity with two transmit antennas and
caffe-Landmark(5points)vcPP
- caffe神经网络实现的人脸关键点定位5点的；本上传是编过的，源码及编译说明在说明里面-caffe neural network face key point positioning 5:00 The upload is compiled, the source code and compile the descr iption in the descr iption inside
Landmark_training_materials
- “蓝马”是美国斯伦贝谢公司的一款大型地震解释软件(landmark), 为地球物理专业、地质专业人士的专业软件。 本文档为蓝马地震软件的培训资料与学习手册，也是很经典的教程！很好用！希望对做地震处理的朋友有用！ - Landmark is a large seismic interpretation software of the United States Schlumberger, for professional software professional geophysical
Robust_Face_Landmark
- 在现实世界条件下获取人脸存在较大的变化在形状和遮挡由于不同在姿态、表情、附属品的使用，例如，太阳镜和帽子以及与目标体（e.g. 食物）的交。当前的人脸界标估计方法在这种条件下努力但由于缺乏一种有效的理论方法用于处理局外点。我们提供了一个新奇的方法，称为Robust Cascaded Pose Regression (RCPR)，通过检测显式的遮挡且使用鲁棒的形状索引的特征可以减少exposure对于局外点。我们证明RCPR改进先前的界标估计方法在3个通用的人脸数据集上(LFPW, LFW and
face-landmark-localization-master
- 使用caffe 进行人脸关键点检测，共68个关键点，使用的语言是python。-Caffe use for face detection key points, a total of 68 key points, the language used is python.