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一个画图的小程序源代码
一个画图的小程序源代码-drawing of a small source code
- 2022-03-13 15:39:22下载
- 积分：1
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lib3ds。3ds读取三维模型格式标准类库
lib3ds。一个用于读取3ds格式三维模型的标准类库-lib3ds. 3ds read for a 3D model format standard class library
- 2023-07-28 11:40:03下载
- 积分：1
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image viewing and processing software
图像浏览及处理软件-image viewing and processing software
- 2022-07-25 13:14:03下载
- 积分：1
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文字识别系统，包括文字图象的预处理过程，用visual c++开发，识别率比较高...
文字识别系统，包括文字图象的预处理过程，用visual c++开发，识别率比较高-Character Recognition system, including language and graphic pretreatment process, with visual c development, a relatively high recognition rate
- 2023-07-25 03:25:04下载
- 积分：1
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Gonzalez, the second version of the course exercises answer
冈萨雷斯第二版本的数字图像处理课程所有习题答案-Gonzalez, the second version of the course exercises answer
- 2022-12-13 13:55:03下载
- 积分：1
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在gl_lines简单演示。
Simple demonstration on GL_lines.
- 2022-02-07 09:07:16下载
- 积分：1
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Desktop desktop animated animated animated desktop desktop desktop animated anim...
桌面动画 桌面动画 桌面动画-Desktop desktop animated animated animated desktop desktop desktop animated animated
- 2022-03-10 03:02:41下载
- 积分：1
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用matlab 实现图像的采样,可实现128 ，64，32点采样
用matlab 实现图像的采样,可实现128 ，64，32点采样-Using matlab to achieve the image sampling, can be realized 128, 64,32-point sampling
- 2022-01-31 16:03:25下载
- 积分：1
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这是一个完整的指纹识别程序，用matlab语言实现了识别指纹、比较两个指纹图像相似度等功能，并设计了用户界面，使用户方便地进行图片的提取和分析，同时直观地显示出...
这是一个完整的指纹识别程序，用matlab语言实现了识别指纹、比较两个指纹图像相似度等功能，并设计了用户界面，使用户方便地进行图片的提取和分析，同时直观地显示出比较结果。-This is a complete fingerprint recognition procedures, matlab language used to identify fingerprints, similarity compare two fingerprint images and other functions, and design a user interface that enables users to easily extract and analyze images at the same time intuitive display comparison results.
- 2022-03-25 18:30:20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
