大疆中/高级计算机视觉算法工程师（三维重建-3DGS）
社招全职算法地点：深圳状态：招聘
任职要求
1. 硕士及以上学历，计算机视觉、摄影测量、计算机图形学、地理信息、测绘遥感、计算机等相关专业； 2. 熟练掌握C/C++/python编程，有CUDA编程和性能优化经历者优先； 3. 数理基础扎实，熟练掌握多视图几何、优化理论、计算机视觉基础，熟悉经典的三维重建技术，包括但不限于SFM、MVS、网格重建、网格修复、纹理贴图、点云LOD、网格LOD； 4. 具有NeRF、3DGS、SLAM、深度学习、多传感器融合、网格&点云处理等某一方面前沿技术的研究落地经验； 5. 熟悉CGAL、PCL、OpenMesh、OpenGL、OpenCV等网格、点云、图像处理库者优先； 6. 对三维重建领域的创新技术、产品有强烈兴趣，对技术本质和发展趋势有自己思考； 7. 有顶级学术论文、权威数据集成绩优异、优秀开源项目等经验者优先； 8. 熟练使用大疆智图、大疆智模、大疆无人机、大疆负载产品者优先。
工作职责
1. 参与大疆无人机航测相关产品的开发交付； 2. 深化研究三维表征、重建、生成技术，持续提升大疆三维重建技术竞争力； 3. 三维语义分割等技术研究，推动三维重建成果的智能化和自动化； 4. 结合大疆软硬件产品，研究下一代三维重建技术的落地应用。
包括英文材料
学历+
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
SLAM+
https://docs.mrpt.org/reference/latest/tutorial-slam-for-beginners-the-basics.html
[英文] SLAM for Dummies
https://dspace.mit.edu/bitstream/handle/1721.1/119149/16-412j-spring-2005/contents/projects/1aslam_blas_repo.pdf
A Tutorial Approach to Simultaneous Localization and Mapping
https://ouster.com/insights/blog/introduction-to-slam-simultaneous-localization-and-mapping
SLAM is an essential piece in robotics that helps robots to estimate their pose – the position and orientation – on the map while creating the map of the environment to carry out autonomous activities.
[英文] What Is SLAM?
https://www.mathworks.com/discovery/slam.html
How it works, types of SLAM algorithms, and getting started
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
OpenGL+
https://www.youtube.com/watch?v=45MIykWJ-C4
Learn how to use OpenGL to create 2D and 3D vector graphics in this course.
https://www.youtube.com/watch?v=W3gAzLwfIP0&list=PLlrATfBNZ98foTJPJ_Ev03o2oq3-GGOS2
https://www.youtube.com/watch?v=XpBGwZNyUh0&list=PLPaoO-vpZnumdcb4tZc4x5Q-v7CkrQ6M-
图像处理+
https://opencv.org/blog/computer-vision-and-image-processing/
This fascinating journey involves two key fields: Computer Vision and Image Processing.
https://www.geeksforgeeks.org/python/image-processing-in-python/
Image processing involves analyzing and modifying digital images using computer algorithms.
https://www.youtube.com/watch?v=kSqxn6zGE0c
In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python!
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