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WPF图形设计器
这是一套WPF图形设计器,在一个外国网站上找到的,包含整套源码,里面的代码设计思想非常棒,非常适合新手,还包含一个例子,可适合做工作流引擎的同学学习,里面含有常见的流程图图形:开始,结束,过程,分支,子过程,还可以连线,可以改变线的线头图形,可以自己定原图,可以保存,编辑,打开,改变颜色
- 2022-03-04 10:06:59下载
- 积分:1
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Nurbs曲线曲面算法,帮助大家在OpenGL,MFC环境下制作程序
Nurbs曲线曲面算法,帮助大家在OpenGL,MFC环境下制作程序-Nurbs curves and surfaces algorithm, to help everyone in the OpenGL, MFC production environment procedures
- 2022-05-18 16:18:26下载
- 积分:1
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libface source download, hope you improve
libface源码下载,希望各位指教
-libface source download, hope you improve
- 2023-02-09 13:15:03下载
- 积分:1
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GNC,an algorithm similar to sa but more efficient
GNC,an algorithm similar to sa but more efficient
- 2023-04-16 19:05:04下载
- 积分:1
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Demonstration Program
图像分形演示程序-Demonstration Program
- 2023-03-20 23:50:03下载
- 积分:1
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一些3D图形的绘制例子.
一些3D图形的绘制例子.-some 3D graphics rendering example.
- 2023-06-01 13:30:03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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这个数据交换的软件公司将在签署读16位数据的激光扫描仪,并转换成DXF格式自动服务台软件的建模和编辑。最后移交给CADCAM软件的快速原型。...
这个数据交换的软件公司将在签署读16位数据的激光扫描仪,并转换成DXF格式自动服务台软件的建模和编辑。最后移交给CADCAM软件的快速原型。-This data exchange software companies will be read at the signing of the 16 data laser scanner, and converted to DXF format automatically Desk software modeling and editing. Finally transferred to the CADCAM software for rapid prototyping.
- 2022-01-25 17:46:26下载
- 积分:1
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识别选定图片表情
vc和opencv写的识别选定图片的程序,详细识别步骤-眼--鼻--嘴debug可用
- 2022-07-09 14:14:24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