搜索资源列表
An-HOG-LBP-Human-Detector
- 一种基于HOG-LBP特征的人脸检测方法，对于遮挡的人体非常有效。-By combining Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) as the feature set, we pro- pose a novel human detection approach capable of handling partial occlusion. Two kinds of detectors
PCA_Nicolas
- 对原始数据进行姿势纠正，便于后文对数据进行处理。- verify the pose and easy for future processing.
multiposeface
- 多姿态人脸数据库，可用于非理想条件下人脸识别中的姿态估计问题，包括63种不同姿态，人脸水平方向旋转角度从-60度到60度，角度间隔15度，竖直方向旋转角度为-60度，-30度，-15度，0度，15度，30度，60度。-face database including 63 different poses，can be used in pose estimation of face recognition under unsatisfied condition.
DetectionofTonguesCrackBasedonAdaptiveThreshold.ra
- 摘 要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。-Tongue’ s crack is a very important part of herbal
2009PatentSYSTEMFOR3DOBJECTRECOGNITION
- Patent:SYSTEM AND METHOD FOR 3D OBJECT RECOGNITION. The present invention provides a system and method for recognizing a 3D object in a single camera image and for determining the 3D pose of the object with respect to the camera coordinate system. In
thomas-cvpr06
- Paper "Towards Multi-View Object Class Detection".We present a novel system for generic object class detection. In contrast to most existing systems which focus on a single viewpoint or aspect, our approach can detect object instances from arbitrar
6
- 本文提出一种复杂条件下基于子空间梯度方向直方图跟踪的方法, 实验结果表明,该方法能够在光照变化、噪声干扰、模糊、目标姿态和尺度改变,以及部分遮挡等恶劣条件下实现准确跟踪,比传统的跟踪方法具有更高的跟踪精度和跟踪鲁棒性,能够满足地面侦察任务在多种复杂条件下对感兴趣目标进行准确跟踪的需求-In this paper, under the conditions of a complex gradient direction histogram based on subspace tracking me
multi-face-pose
- 该人脸库包含30个人、每人10幅总共300幅光栅图像，每个人的10幅图像包括了朝正前方、朝左、朝右、朝上和朝下五种不同的视角 方向的情形，经典的多姿态人脸库 注意此文件为.ras格式，需要用ACDSEE打开，SUN光栅图片格式。-The face database contains 30 individuals, each 10 Total 300 raster images, 10 images of each person included toward the front, lef
Position-and-orientation-measurement
- 介绍了用单个CCD 摄像机和超声传感器相结合检测物体位姿的方 法.-Described the use of a single CCD camera and ultrasonic sensors detect objects pose a combination of methods.
ICISTongLiu
- This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong robust
Complex-environments-face-detection
- 提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。-Extraordinary face detection method for complex environments, the first space CbCgCr direct least squares meth
5points
- 通过两幅图像间5个已标定的对应点，求出R t矩阵的可能值-An Effi cient Solution to the Five-Point Relative Pose Problem fi nd the possible solutions for relative camera pose between two calibrated views given fi ve corresponding points
KINECT-HEAD-POSE-ESTIMATED
- 用Kinect深度图像信息做的头部姿态跟踪，是中文硕士论文，非常详细的跟踪方法和kinect使用方法-head pose tracking used kinect
clothes-CVPR12
- cvpr2012_oral Street-to-Shop: Cross-Scenario Clothing Retrieval via Parts Alignment and Auxiliary Set-In this paper, we address a practical problem of crossscenario clothing retrieval- given a daily human photo captured in general environment
OpenRadar7.0
- 激光雷达数据采集或读取、显示、直线拟合、角点提取、圆弧拟合、位姿解算等-Lidar data acquisition or read display, fitting a straight line, corner extraction, arc fitting Pose solver
epnp
- 国外计算摄像机姿态和位置的高效率代码，时间复杂度和空间复杂度都较低-the efficient calculation code of the camera pose and position，the time complexity and the space complexity is low
head_pose_estimation
- 一套较为系统的实现头部运动估计的程序，使用c++编程-head pose estimation source code (c++)
Real-Time-Head-Pose-Estimation-from
- 随机森林法估计人脸姿态。我们提出用于估计位置和一个人的头部的方向，从由一个低质量的设备获取的深度数据的系统。-Random Forest method to estimate the face pose,。We present a system for estimating location and orientation of a person s head, from depth data acquired by a low quality device.
non-cooperative-target
- 空间非合作目标位姿测量的几篇文章，有需要的可以看看，都是基于二维图像的方法。-Articles of non-cooperative target space pose measurement, there is need to look at, are the two-dimensional image based approach.
AUKF and UKF for Pose Estimation
- 此文件实现了自适应UKF和UKF算法对运动刚体的位姿估计，采用噪声估计器在线估计过程噪声的均值和方差，避免了人为设定噪声的统计特性。(This document implements adaptive UKF and UKF algorithm to estimate pose and pose of moving rigid body, and uses noise estimators to estimate the mean and variance of process noise on