OpenCV Python SIFT Feature Detection (SIFT Algorithm Explained + Code)

Опубликовано: 17 Август 2023
на канале: Kevin Wood | Robotics & AI

21,456

303

🎁 Get FREE Robotics & AI Resources (Guide, Textbooks, Courses, Resume Template, Code & Discounts) – Sign up via the pop-up at https://kevinwoodrobotics.com/
📝 Real-World Robotics Project Course Overview and Waitlist: https://forms.gle/xu4rfk7GWHCaZGBEA
🦾 Learn Robotics and AI: https://kevinwoodrobotics.com/product...
🤝 Consulting and Mentorship: https://kevinwoodrobotics.com/product...
👁️ Learn OpenCV: https://kevinwoodrobotics.com/product...
🤖 Learn ROS: https://kevinwoodrobotics.com/product...
🧠 Learn Computer Vision using AI: https://kevinwoodrobotics.com/product...
🖥️ Learn AI and Machine Learning: https://kevinwoodrobotics.com/product...
🛒 Amazon Store (My Top Picks for Robot Projects and More!): https://www.amazon.com/shop/kevinwood...
☕ Support My Channel: https://buymeacoffee.com/kevinwoodrob...

In this video, I will go over SIFT in OpenCV with Python using VS Code. SIFT is an important feature detection pipeline for detecting features such that features can be found robustly, invariant to scale, rotation, and point of view. Many other feature detection methods derive from SIFT so it's important to understand it.

0:00 Introduction
0:17 What is SIFT?
0:42 Why do we need SIFT?
1:00 How does SIFT work?
3:57 Code

Learn Python CV (computer vision) with OpenCV Python:
   • OpenCV Python with Classical Computer Visi...

Thanks for watching! If you found this video helpful, please like, subscribe and share:
   / @kevinwoodrobotics

Social:
LinkedIn:   / kevinwoodrobotics
Github: https://github.com/kevinwoodrobotics
Instagram:   / kevinwoodrobotics
Twitter:   / kevinwoodrobotics

На этой странице сайта вы можете посмотреть видео онлайн OpenCV Python SIFT Feature Detection (SIFT Algorithm Explained + Code) длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь Kevin Wood | Robotics & AI 17 Август 2023, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 21,456 раз и оно понравилось 303 зрителям. Приятного просмотра!

132