Joint Cascade Face detection and Alignment（ECCV2014）介绍
一、总体 在Joint Cascade Face detection and Alignment（ECCV2014）（以下简称论文）之前，比较广泛的人脸检测（object detection）方法是Viola-Jones检测器（典型的为Haar + Ababoost）。V-J分类器基于以下两个原则进行检测的： 逐步提升的级联结构 简单的特征 这种方法在日常生活场景中效果不甚理想。在一些复杂的情况下
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相关文章
- 1. Joint Cascade Face Detection and Alignment流程
- 2. 人脸检测对齐--Joint Cascade Face Detection and Alignment
- 3. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 5. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
- 6. 论文笔记1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. 论文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 8. MTCNN解读：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 9. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks论文理解
- 10. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（二）