画像処理と3次元幾何:コンピュータビジョン基礎2

Learn the essence of "Computer Vision: Models, Learning, and Inference", part 2

4.40 (318 reviews)
Udemy
platform
日本語
language
Math
category
instructor
画像処理と3次元幾何:コンピュータビジョン基礎2
5,970
students
4 hours
content
Feb 2017
last update
FREE
regular price

What you will learn

代表的な画像処理・前処理(画素値変換,フィルタリング,検出器,記述子,次元削減,PCA)の理解

同時座標の理解とピンホールカメラモデル,外部・内部パラメータ推定(キャリブレーション),三角測量に基づく3次元復元

代表的な変換(剛体変換,相似変換,アフィン変換,射影変換・ホモグラフィ),パラメータ推定手法,平面シーンでのキャリブレーション方法,ホモグラフィの性質,ホモグラフィロバスト推定と応用例

Why take this course?


Course Headline: 🎓 Computer Vision: Models, Learning, and Inference - Essence Unpacked!

Course Title: 画像処理と3次元幾何:コンピュータビジョン基礎2


Course Description:

Are you ready to dive deep into the world of Computer Vision? Our comprehensive online course "Computer Vision: Models, Learning, and Inference" is your gateway to understanding the core concepts of this fascinating field. 🌐✨

What You'll Learn:

  • Foundational Knowledge: Gain a solid grasp of image processing fundamentals and delve into the intricacies of 3D computer vision.
  • Expert Slides: Utilize the authoritative slides from Simon Prince's book "Computer Vision: Models, Learning and Inference," providing you with a structured learning framework.
  • Real-World Applications: Explore practical applications of pattern recognition and machine learning within computer vision.
  • Probabilistic Methods: Dive into advanced topics such as Bayesian inference, probability models, and maximum likelihood estimation to understand how these statistical tools drive computer vision algorithms.

Course Highlights:

  • Expertly Crafted Lectures: Each topic is carefully explained with clarity and depth, ensuring you grasp the essential concepts.
  • Interactive Quizzes: Test your knowledge with engaging quizzes (available on web versions). These challenges will help you solidify your understanding of the material.
  • Comprehensive Coverage: This course covers Part IV of Simon Prince's book, including chapters from 13 to 15, focusing on image processing and camera models basics. While Chapter 12 and earlier content are covered in our previous course "Bayesian Inference and Graphical Models: Computer Vision Fundamentals 1," this course builds upon that knowledge for a more advanced exploration. Chapters 16 and beyond are not included in this series.

Course Materials:

The slide deck used in this course is copyrighted by Simon J. D. Prince, the author of "Computer Vision: Models, Learning and Inference." We are grateful for his permission to use these slides, making this course an authentic learning experience.


Why Take This Course?

  • Authoritative Content: Learn from a course crafted with materials approved by Simon J. D. Prince himself.
  • Engaging Format: Watch a single video that encompasses over 4 hours of content, carefully edited for your learning convenience.
  • Accessible Learning: With web access, you can view the complete course material and interactive quizzes at your own pace.

Take the Next Step in Your Learning Journey! 🚀💻

Already familiar with the basics of computer vision? This course will take you to the next level by focusing on advanced topics that are crucial for understanding and implementing modern computer vision systems. Don't miss out on this opportunity to expand your knowledge and skills in this cutting-edge field.


How to Access:

  1. Search YouTube: Use "2023/9 Computing Computer Vision" as your search term to find our complete course video.
  2. Enroll Today: Sign up for the course on our online platform and get immediate access to all materials and quizzes.
  3. Learn Anywhere, Anytime: Enjoy a seamless learning experience on any device with web capability.

Join us now and transform your understanding of computer vision! 📚👀


About the Instructor:

Toru Tamakida is a passionate educator specializing in computer science, with a focus on computational vision. With years of experience in both teaching and practical applications of computer vision, Toru brings a wealth of knowledge and expertise to this course. His dedication to making complex concepts accessible has helped countless students grasp the essence of computer vision.


Enroll Now and Embark on Your Journey Towards Mastering Computer Vision! 🎓🚀

Screenshots

画像処理と3次元幾何:コンピュータビジョン基礎2 - Screenshot_01画像処理と3次元幾何:コンピュータビジョン基礎2 - Screenshot_02画像処理と3次元幾何:コンピュータビジョン基礎2 - Screenshot_03画像処理と3次元幾何:コンピュータビジョン基礎2 - Screenshot_04

Reviews

hirai
May 8, 2019
すばらしいの一言です。他の方のレビューにもあるように、途中の章で終わってしまっているので、中途半端感がハンパないです。前作につづく星5つの名講義ですが、途中で終わってしまっているので星4つとしました。わたしのような独学の素人に救いの手を。是非続きもお願いします!!

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Related Topics

419860
udemy ID
2/12/2015
course created date
11/7/2019
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