Computer Vision untuk Pemula

Image Geometry, Image Photometric, Multi View Geometry, Multi View Geometry, Camera Calibration, Epipolar Geometry
4.33 (55 reviews)
Udemy
platform
Bahasa Indonesia
language
Math
category
Computer Vision untuk Pemula
1 591
students
1 hour
content
Sep 2020
last update
FREE
regular price

Why take this course?

🎓 Computer Vision for Beginners: Master the Visual World with Bina Nusantara University


Course Headline:

Unlocking the Secrets of Image Processing and Understanding Computer Vision Concepts


Course Overview:

Are you ready to dive into the fascinating world of Computer Vision? This comprehensive 10-session course is designed for beginners who aspire to master the fundamentals of computer vision. Through a blend of theoretical knowledge and practical applications, you'll explore the intricacies of Image Geometry, Image Photometric, Multi View Geometry, Camera Calibration, Epipolar Geometry, Stereo Vision, and Optical Flow. This journey will equip you with the tools to understand and apply computer vision concepts in real-world scenarios.

What You'll Learn:

Week 1: Introduction to Computer Vision

  • Understanding the scope and importance of computer vision.
  • Overview of key applications in various industries.

🔍 Weeks 2-3: Image Geometry I & II

  • Learning about the intrinsic parameters of cameras.
  • Examining the projective properties of images.
  • Applying geometric constraints to interpret images correctly.

🌟 Week 4: Image Photometric

  • Discovering the effects of lighting and shading on image interpretation.
  • Exploring color space transformations and histogram equalization techniques.

🌍 Week 5: Multi View Geometry

  • Understanding how multiple images provide different perspectives of a scene.
  • Learning algorithms to reconstruct scenes from multiple views.

📸 Weeks 6-7: Camera Calibration & Epipolar Geometry

  • Mastering the process of camera calibration for accurate image reconstruction.
  • Delving into the principles of epipolar lines and geometry for efficient search algorithms.

🚀 Weeks 8-9: Stereo I & II

  • Exploring stereo vision systems to determine spatial relationships.
  • Implementing triangulation techniques to assess depth from images.

🏃‍♂️ Week 10: Optical Flow

  • Understanding motion estimation and optical flow applications.
  • Applying optical flow to track movement in video sequences.

Course Highlights:

  • Practical Sessions: Engage with hands-on projects that bring theoretical concepts to life.
  • Real-World Applications: Learn how computer vision is used in industries such as healthcare, autonomous vehicles, and robotics.
  • Interactive Learning: Participate in discussions, solve problems, and collaborate with peers for a rich learning experience.

Why Take This Course?

  • Flexible Learning: Complete the course at your own pace within 2 hours of instructional content.
  • Expert Guidance: Learn from experienced instructors who are experts in the field of computer vision.
  • Skill Development: Gain a solid foundation in computer vision that you can build upon for more advanced studies.

Who Should Take This Course?

  • Aspiring software developers with an interest in image processing and computer vision.
  • Engineering students seeking to understand the principles behind advanced vision systems.
  • Professionals from various fields looking to leverage computer vision technologies in their work.

🎁 Enroll Now to Embark on Your Journey into the Fascinating World of Computer Vision with Bina Nusantara University!

Join us and transform your understanding of how computers see, interpret, and learn from visual data. With this course, you'll be well-equipped to tackle computer vision challenges and contribute innovative solutions to real-world problems. 🌟

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Related Topics

1936922
udemy ID
28/09/2018
course created date
07/11/2019
course indexed date
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