From c1ba30f5375ceac9d5e34400c35822e6a07050aa Mon Sep 17 00:00:00 2001 From: "ithink.chan" Date: Wed, 4 Mar 2020 15:02:32 +0800 Subject: [PATCH] =?UTF-8?q?=E8=B0=83=E6=95=B4=E6=A0=BC=E5=BC=8F,=E4=BF=AE?= =?UTF-8?q?=E6=AD=A3=20hugo=20=E6=97=A0=E6=B3=95=E7=BC=96=E8=AF=91?= =?UTF-8?q?=E9=97=AE=E9=A2=98.?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: ithink.chan --- Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) mode change 100644 => 100755 Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md diff --git a/Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md b/Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md old mode 100644 new mode 100755 index 24814d8..8e6ad47 --- a/Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md +++ b/Algorithm/AI/Deep_Learning_Haar_Cascade_Explained.md @@ -4,11 +4,11 @@ title: "Deep Learning Haar Cascade Explained" subtitle: "" description: "翻译" excerpt: "这是我认为最通俗易懂的 Haar 级联分类器的解释说明，文末视频非常形象。" -date: 2020-03-04 11:25:00 +date: 2020-03-04 14:42:00 author: "Rick Chan" tags: ["AI", "Classifier", "Haar"] categories: ["Algorithm"] -published: false +published: true --- [原文连接] @@ -19,10 +19,12 @@ Haar 级联分类器的背后思想以及其现实应用实在令人倍感惊奇 ## Haar cascade -Haar Cascade is a machine learning object detection algorithm used to identify objects in an image or video and based on the concept of ​​features proposed by Paul Viola and Michael Jones in their paper "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. +Haar Cascade is a machine learning object detection algorithm used to identify objects in an image or video and based on the concept of features proposed by Paul Viola and Michael Jones in their paper "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001. Haar 级联分类器是一种机器学习算法，最初由 Paul Viola 和 Michael Jones 在 2001 年的论文《Rapid Object Detection using a Boosted Cascade of Simple Features》中提出。该算法能够通过特征来识别图像或视频中的物体。 +It is a machine learning based approach where a cascade function is trained from a lot of positive and negative images. It is then used to detect objects in other images. + ## 参考资料 [人脸检测之Haar分类器](https://www.cnblogs.com/zyly/p/9410563.html)