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形式+ +源代码
Form++ Source code
- 2022-06-17 17:46:48下载
- 积分：1
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这是Ganzalez书上的一个示例程序，用来实现直方图的线性运算处理。...
这是Ganzalez书上的一个示例程序，用来实现直方图的线性运算处理。-This is a book Ganzalez sample procedures used for linear histogram processing.
- 2022-03-29 21:21:15下载
- 积分：1
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可以实现个性按钮，值得一看
可以实现个性按钮，值得一看-can achieve personalized buttons, an eye-catcher
- 2022-02-04 13:20:55下载
- 积分：1
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通过检查图像间的相似度来实现图像配准，有详细注释，便于理解，编译能运行。...
通过检查图像间的相似度来实现图像配准，有详细注释，便于理解，编译能运行。-by checking the similarity between the images to achieve image registration, detailed notes, easily comprehensible compiler can run.
- 2023-05-24 10:55:03下载
- 积分：1
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This is a pale blue background. Many stars dust! ! Oh, pretty good
这是一个淡蓝背景。很多星星飞扬！！蛮不错的哦-This is a pale blue background. Many stars dust! ! Oh, pretty good
- 2022-09-16 06:40:03下载
- 积分：1
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face detection and recognition vc source code, hope you like
人脸检测与识别vc++源代码，希望大家喜欢-face detection and recognition vc source code, hope you like
- 2023-08-18 17:30:03下载
- 积分：1
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C#摄像头监控源代码
网上下的，功能强大，绝对能用。
C#摄像头监控源代码
网上下的，功能强大，绝对能用。-C# source code for web camera surveillance under the powerful, absolutely can be used.
- 2023-04-23 17:10:02下载
- 积分：1
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这是OpenGL高级编程与可视化系统开发（系统开发篇）源码
这是OpenGL高级编程与可视化系统开发（系统开发篇）源码 -This is a high-level programming with OpenGL visualization system development (system development articles) source
- 2023-04-20 16:40:03下载
- 积分：1
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图像的预处理，读入彩色图像将其灰度化matlab 代码
图像的预处理，读入彩色图像将其灰度化matlab 代码-matlab code
- 2022-05-25 15:33:47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
