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基于Haar的车辆检测
应用背景应用于路口摄像头、Kinect等设备的车辆检测,是基于OpenCV中提供的Haar的车辆检测。程序中包含已训练好的车辆分类器car3.xml,可直接载入进行车辆检测。此程序包含车辆和人脸等检测。关键技术算法程序类似于人脸检测,替换掉训练好的车辆分类器xml,运行环境:vs201x+opencv2.4.x。此程序包含车辆和人脸等检测。
- 2022-03-17 05:17:54下载
- 积分:1
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可以实现小球的光照效果
可以实现小球的光照效果- May realize the pellet illumination effect
- 2023-01-25 18:05:03下载
- 积分:1
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凹多边形的凸分解(实现扩张的算法)…
凹多边形凸分解(罗杰斯算法的扩展实现)
本程序实现了X,Y方向的凹多边形凸分解-Concave polygon convex decomposition (Rogers algorithm realize the expansion of) the procedure to achieve the X, Y direction of the concave polygon convex decomposition
- 2022-09-15 04:30:03下载
- 积分:1
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这个绘制直线,折线,圆饼图的软件是我比较喜欢的一个,实在是值得学习!...
这个绘制直线,折线,圆饼图的软件是我比较喜欢的一个,实在是值得学习!
- 2023-07-12 00:05:03下载
- 积分:1
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my name is zhangheng!! zhe ge dongxi hen shuang jingbenren shiyan!!
qu yu tian chong zhe ge dongxi hen shuang jingbenren shiyan-my name is zhangheng!! zhe ge dongxi hen shuang jingbenren shiyan!!
- 2022-07-12 13:02:20下载
- 积分:1
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罗森菲尔德细化算法的功能:细化图像参数:图像…
Rosenfeld细化算法 功能:对图象进行细化 参数:image:代表图象的一维数组 lx:图象宽度 ly:图象高度-Rosenfeld thinning algorithm functions : Refinement of image parameters : image : the image of the one-dimensional array lx : Image width ly : image height
- 2023-07-13 07:45:02下载
- 积分:1
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图像平滑源代码 还可以的 在vc直接运行就行 可作为参考
图像平滑源代码 还可以的 在vc直接运行就行 可作为参考-image smoothing source code can also directly in vc running on the line can be used as reference
- 2023-07-10 20:20:02下载
- 积分:1
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使用opengl中的纹理贴图,光照,以及3D模型导入,构造了一个房间,能够使用鼠标和键盘实现虚拟漫游(w,a,s,d)...
使用opengl中的纹理贴图,光照,以及3D模型导入,构造了一个房间,能够使用鼠标和键盘实现虚拟漫游(w,a,s,d)-Use opengl the texture mapping, illumination, and 3D model import, construct a room, be able to use the mouse and keyboard to achieve a virtual roaming (w, a, s, d)
- 2023-04-11 18:15:07下载
- 积分:1
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利用VC++6.0实现了对部分分形图的绘制功能
利用VC++6.0实现了对部分分形图的绘制功能-VC 6.0 part of the Fractal Map function
- 2022-11-04 05:45:03下载
- 积分:1
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Abstract
We present a component
Abstract
We present a component-based, trainable system for detecting
frontal and near-frontal views of faces in still gray
images. The system consists of a two-level hierarchy of Support
Vector Machine (SVM) classifiers. On the first level,
component classifiers independently detect components of
a face. On the second level, a single classifier checks if the
geometrical configuration of the detected components in the
image matches a geometrical model of a face. We propose
a method for automatically learning components by using
3-D head models. This approach has the advantage that
no manual interaction is required for choosing and extracting
components. Experiments show that the componentbased
system is significantly more robust against rotations
in depth than a comparable system trained on whole face
patterns.
- 2023-05-01 18:35:08下载
- 积分:1