“计算机视觉”版本间的差异
来自iCenter Wiki
(以“= 计算机视觉 = 计算机视觉(Computer Vision),简称CV,包含对象检测、人脸识别、文字识别等。 == 对象检测 == 对象检测,Obj...”为内容创建页面) |
(→R-CNN) |
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# Faster R-CNN Towards real-time object detection with region proposal networks, NIPS, 2015. | # Faster R-CNN Towards real-time object detection with region proposal networks, NIPS, 2015. | ||
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+ | # You Only Look Once: Unified, Real-Time Object Detection, CVPR 2016 | ||
+ | (Code [https://pjreddie.com/darknet/yolo/ Yolo]) | ||
== 人脸识别 == | == 人脸识别 == |
2017年3月17日 (五) 11:47的版本
计算机视觉
计算机视觉(Computer Vision),简称CV,包含对象检测、人脸识别、文字识别等。
对象检测
对象检测,Object Detection,是计算机视觉一项基本功能。
R-CNN
Ross Girshick,FAIR研究员,R-CNN算法(Region-based Convolutional Network)的开创者。
R-CNN (Code: Matlab)
- Region based convolutional networks for accurate object detection and segmentation, TPAMI, 2015.
- Rich feature hierarchies for accurate object detection and semantic segmentation, CVPR 2014.
Fast R-CNN (Code: Python)
- Fast R-CNN, ICCV 2015.
Faster R-CNN (Code: Matlab, Python)
- Faster R-CNN Towards real-time object detection with region proposal networks, NIPS, 2015.
- You Only Look Once: Unified, Real-Time Object Detection, CVPR 2016
(Code Yolo)
人脸识别
人脸识别,Face Recognition,分为传统机器学习和深度神经网络两大类方法。
传统机器学习
特征脸算法(Eigenface)
局部二值模式(Local Binary Patterns,简称LBP)
Fisherface算法
深度神经网络
CMU - OpenFace