STAIR Vision Library (SVL) 最初是为支持斯坦福智能机器人设计的，提供对计算机视觉、机器学习和概率统计模型的支持。
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首先介绍一下STAIR Vision Library是一个关于计算机视觉的开源代码，具体介绍和源码下载参考 http://ai.stanford.edu/~sgould/svl/ 安装时的几个小问题： 1. 代码中的库均需要采用Release方式进行编译； 2. OpenCV的版本最好选择1.0；wxWidgets的版本最好选择2.8.*；
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2018. 欢迎访问我的个人博客: http://zengzeyu.com paper source - O-CNN : Octree-based Convolutional Neural Networks for 3D Shape Analysis PDF/video/code OctNet: Learning Deep 3D Representations at High Resolution
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History Introduction CCV : A Modern Computer Vision Library Learning Curve ConvNet Everything is here: ConvNet: Deep Convolutional Networks Four popular CNNs [AlexNet 12] ImageNet Classification with
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Computer Vision Tools Contents 1 Computer Vision Tutorials 2 Computer Vision Resources 3 Computer Vision Libraries 4 Image Primitive 4.1 Point Features and Their Correspondence 4.2 Line Segments and V