Rapid Object Detection using a Boosted Cascade of Simple Feature
這篇文章主要是對Rapid Object Detection using a Boosted Cascade of Simple Feature，Viola&Jones的學習總結。 注：這篇文章中的特徵值和線性代數的特徵值不是一個東西，是我詞窮的一種表述 作者提到這篇文章主要有三個點 1.使用積分圖計算Haar-like特徵 2.使用AdaBoost訓練數據 3.使用級聯的方式將分類器連接，加快對
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相關文章
- 1. Rapid Object Detection using a Boosted Cascade of Simple Features
- 2. Viola–Jones object detection framework--Rapid Object Detection using a Boosted Cascade of Simple Fea
- 3. 《Rapid Object Detection using a Boosted Cascade of Simple Features》論文筆記
- 4. 【人臉檢測】Radpid Object Detection using a Boosted Cascade of Simple Features
- 5. 【翻譯經典】Rapid Object Detection using aBoosted Cascade of Simple Features（人臉檢測經典論文）
- 6. 【opencv】Face Detection using Haar Cascades
- 7. 【FPN】《Feature Pyramid Networks for Object Detection》
- 8. Object Detection 之Feature Pyramid Networks for Object Detection(FPN)
- 9. Creating a Cascade of Haar-Like Classifiers: Step by Step
- 10. 2017-05-28 Salient Object detection: A Discriminative Regional Feature Integration Approach