Joint Cascade Face detection and Alignment（ECCV2014）介紹
一、總體 在Joint Cascade Face detection and Alignment（ECCV2014）（以下簡稱論文）之前，比較廣泛的人臉檢測（object detection）方法是Viola-Jones檢測器（典型的爲Haar + Ababoost）。V-J分類器基於以下兩個原則進行檢測的： 逐步提升的級聯結構 簡單的特徵 這種方法在日常生活場景中效果不甚理想。在一些複雜的情況下
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相關文章
- 1. Joint Cascade Face Detection and Alignment流程
- 2. 人臉檢測對齊--Joint Cascade Face Detection and Alignment
- 3. 論文筆記1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. 論文筆記1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 5. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks閱讀筆記
- 6. 論文筆記1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. 論文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 8. MTCNN解讀：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 9. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks論文理解
- 10. 論文解讀——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（二）