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[COURSE] Add 3D Reconstruction #513

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30 changes: 30 additions & 0 deletions docs/深度学习/3DReconstruction.md
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# 课程名称 计算机视觉三维重建

## 课程简介

- 所属大学:北京邮电大学

- 先修要求:无

- 编程语言:无

- 课程难度:🌟🌟

- 预计学时:14

<!-- 用一两段话介绍这门课程,内容包括但不限于:
(1)课程覆盖的知识点范围
(2)与同类课程相比它的优势与特点
(3)学习这门课程的体验与感受
(4)自学这门课的注意点(踩过的坑、难度预警等等)
(5)... ...
-->

​本门课程是介绍与讨论计算机视觉三维重建的基础课程,课程中详细讲述了如何从图像构建三维模型的过程。相比于同类课程,知识点更加详细,公式推导更加完整,对于入门SLAM与3D Reconstruction的初学者极其友好,网上博客与资料等自学的方式多出现错误(本人亲身经历),因此相比之下,此课程是极其优秀的课程。

​**本门课程没有实践过程,完全属于理论课,如果对推导过程有兴趣的同学,可以尝试用代码复现其算法过程。**

## 课程资源

- 课程网站:[2022B站最好最全的【三维重建】课程!!!北邮教授竟然把三维重建讲的如此通俗易懂,学不会UPZHIJIE 退网下架!!!-人工智能/计算机视觉/三维重建_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1DP41157dB/?spm_id_from=333.337.search-card.all.click&vd_source=416d3ea01e1c64f6ca346be77e374549)
- 课程视频:[2022B站最好最全的【三维重建】课程!!!北邮教授竟然把三维重建讲的如此通俗易懂,学不会UPZHIJIE 退网下架!!!-人工智能/计算机视觉/三维重建_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1DP41157dB/?spm_id_from=333.337.search-card.all.click&vd_source=416d3ea01e1c64f6ca346be77e374549)
1 change: 1 addition & 0 deletions mkdocs.yml
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- "Stanford CS224n: Natural Language Processing": "深度学习/CS224n.md"
- "Stanford CS224w: Machine Learning with Graphs": "深度学习/CS224w.md"
- "UCB CS285: Deep Reinforcement Learning": "深度学习/CS285.md"
- "计算机视觉之三维重建": "计算机视觉/3DReconstruction.md"
- 机器学习进阶:
- "进阶路线图": "机器学习进阶/roadmap.md"
- "CMU 10-708: Probabilistic Graphical Models": "机器学习进阶/CMU10-708.md"
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