Image Formation & Camera Models for Computer Vision – Full Fundamentals Course
عدد الدروس : 96 عدد ساعات الدورة : 15:15:49 شهادة معتمدة : نعم التسجيل في الدورة للحصول على شهادةللحصول على شهادة
- 1- التسجيل
- 2- مشاهدة الكورس كاملا
- 3- متابعة نسبة اكتمال الكورس تدريجيا
- 4- بعد الانتهاء تظهر الشهادة في الملف الشخصي الخاص بك
قائمة الدروس
عن الدورة
This course covers the fundamental concepts of image formation in computer vision, helping you understand how digital images are created and interpreted by machines. It focuses on the physics and geometry behind cameras and imaging systems.
You will start with an introduction to the basics of image formation and the pinhole camera model. The course explains how light passes through a small aperture to create a 2D projection of a 3D scene.
Next, you will explore perspective projection in detail, including 2D and 3D transformations, and how real-world objects are mapped into image planes. These concepts form the mathematical foundation of computer vision systems.
The course then introduces camera optics, including thin lens models, depth of field, and exposure. You will learn how lenses affect image clarity, focus, and brightness in real-world imaging systems.
In addition, you will study pixel formation and color filter arrays, which explain how digital sensors capture and reconstruct color images.
By the end of this course, you will have a strong understanding of how cameras work from a computational and physical perspective, which is essential for advanced computer vision, robotics, and AI vision applications.
