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relorient
- Relative orientation from 5 points: a somewhat more polished C routine implementing the minimal solution for relative orientation of two calibrated cameras from unknown 3D points. 5 points are required and there can be a
Acivs09Code
- AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for thi
Face_recognition
- 基于matlab的人脸识别分析，参考文献为： [1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeli
Multiple-Pedestrian-Tracking-using-Colour-and-Mot
- This paper presents a method that combines colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly detected using the human detector proposed by Dalal
HOG_linux
- 提取图像方向梯度的直方图特征，image processing（图像处理）-HOG feature extraction Descr iption This program is used to extract HOG(Histograms of oriented gradients) features from images. The integral histogram is used for fast histogr
hog
- 用于实现HOG的算法，该算法是针对Dalal and Triggs的论文实现的。-For HOG algorithm, the algorithm is Dalal, and Triggs paper.
HOG_OpenCV
- HOG即histogram of oriented gradient, 是用于目标检测的特征描述子，该技术将图像局部出现的方向梯度次数进行计数，该方法和边缘方向直方图、scale-invariant feature transform类似，不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG，用于静态图像or视频的行人检测。-HOG i.e.
cvHOG
- The code below is implementation of HOG (Histogram-of-Oriented Gradients) descr iptor and object detection, introduced by Navneet Dalal and Bill Triggs. The computed feature vectors are compatible with the INRIA Obj
hog
- 下面的代码是实现HOG（附柱状图导向梯度） 描述符和目标检测，通过那伏乃尔达拉尔和比尔Triggs介绍。 所计算的特征向量是与兼容 INRIA目标检测与定位工具包 &