# 1365843167/-

<https://repo.masters-masters.com/en/repos/1365843167/->

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1365843167/- has 111 stars on GitHub. Its RepoMasters card: Prototype tier. 定位综述 目前用于人脸定位的有两种主流方法，一种是基于级联形状回归模型，另一种就是基于深度学习的方法。级联形状回归方法就是使用回归模型，直接学习从人脸表征到人脸形状的…

| Field | Value |
| --- | --- |
| Owner | [1365843167](https://repo.masters-masters.com/en/owners/1365843167) |
| Stars | 111 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [1365843167/-](https://github.com/1365843167/-) |

## Repository

定位综述 目前用于人脸定位的有两种主流方法，一种是基于级联形状回归模型，另一种就是基于深度学习的方法。级联形状回归方法就是使用回归模型，直接学习从人脸表征到人脸形状的映射函数，进而建立从表观到形状的对应关系。这种方法的学习依赖于训练集的选取，如果训练集中包含了复杂的姿态变化，学习到的函数测试性能就会比较好。现有很多基于回归的方法，其中比较突出的有颜水成的DCR（Deep Cascaded Regression）、ESR（Explicitly Shape Regression）方法、LBF（Local Binary Features）方法以及SDM（Supervised Decent Meth…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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