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这是一本关于SLAM的书稿,希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到200页左右,书稿每章对应的代码也会被整理出来。

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作者您好: 书中p84-p90,文稿中公式丢失。 ![357668fc54bc01171734d3dc5cac55f](https://user-images.githubusercontent.com/65948863/133609361-bf2d807b-d21f-4827-9720-71e5ff2be6f2.png) ![a5092c6fe811303b1494ff1e3480116](https://user-images.githubusercontent.com/65948863/133609474-d428b9e5-ac03-4ff0-9f39-bf728e27f7ce.png)

![536简繁体切换错误](https://user-images.githubusercontent.com/16514555/131770583-62f7f323-cc1a-4652-a672-47232462d2ae.png) ![538代词错误(它)](https://user-images.githubusercontent.com/16514555/131770589-68decf7b-2c85-44a5-b898-c01488372df6.png) ![553缺少波浪号](https://user-images.githubusercontent.com/16514555/131770591-09bccb8c-9295-43a7-97a7-18722e2de231.png) ![579粗体错误](https://user-images.githubusercontent.com/16514555/131770592-16a966de-d253-4a04-a9aa-4a6300bcaa83.png) ![777引用错误](https://user-images.githubusercontent.com/16514555/131770595-63aa3def-09ec-4fe0-bf8b-671bdb735080.png) ![1108字错误(想)](https://user-images.githubusercontent.com/16514555/131770597-8e8dd190-f705-490b-a6df-ee2c6f23c3b1.png) ![1114字错误(路)](https://user-images.githubusercontent.com/16514555/131770600-e69d71e4-4724-4b98-a209-6d25eae72a28.png) ![1119字错误(路)](https://user-images.githubusercontent.com/16514555/131770601-05ebb980-995d-4e0a-a546-d544532d39f9.png) ![1277符号混乱](https://user-images.githubusercontent.com/16514555/131770603-7d34fe1c-5af2-4cee-a8ed-4f169a2ac187.png) ![1508行代码越界](https://user-images.githubusercontent.com/16514555/131770606-2c34fe99-06ce-4339-9142-0379f7441c34.png)

![图片](https://user-images.githubusercontent.com/16514555/131767076-16874249-cf97-4767-beee-17e6a57ffd07.png)

![图片](https://user-images.githubusercontent.com/16514555/131766504-f41254c6-f4e9-4cec-8b0e-5b874c45b0a1.png)

![图片](https://user-images.githubusercontent.com/16514555/131766129-7dcd2177-5a4b-4526-a841-f510e5fc0388.png)

![image](https://user-images.githubusercontent.com/14705603/130453750-116de82c-9cd1-4b41-ba21-872c943fb7ad.png)

![image](https://user-images.githubusercontent.com/14705603/130446861-563f1ac4-1f11-48b6-ad2a-792c9d384d40.png) °

原文: 因此 ASIFT 算4子 [22] 被设计出来解决大倾角图像的匹配问题。 [22]:Fully convolutional networks for semantic segmentation 这里ASITF引用paper是不是有点问题,ASIFT的paper是:ASIFT: A new framework for fully affine invariant image comparison

![image](https://user-images.githubusercontent.com/41996057/116538657-64c7ed80-a91a-11eb-8740-1131229e25d0.png)

p15的LSD代码超出边界