This course provides an introduction to the fundamentals of computer vision. Students will learn the concepts and algorithms behind successful applications such as face detection, handwritten digit recognition, 3D model reconstruction, and more.
Computer Vision and Image Processing - Fundamentals and Applications
2.5
Swayam42 learners
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This course introduces students to the fundamentals of Computer Vision and Image Processing, including image acquisition and formation models, radiometric models, image processing concepts, feature extraction and selection for pattern classification/recognition, and advanced concepts such as motion estimation and tracking, image classification, scene understanding, object classification and tracking, image fusion, and image registration. It is suitable for students interested in research in the field of Computer Vision and Image Processing.
Computer Vision with OpenCV Python Official OpenCV Course
3.0
Udemy5,800 learners
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This official OpenCV course provides an introduction to computer vision using the OpenCV library. Learn to use the world's largest and most comprehensive computer vision library to develop powerful applications with Python.
Computer Vision for Embedded Systems
1.5
Edx73 learners
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This course explores the use of computer vision (OpenCV and PyTorch) on embedded systems such as Raspberry Pi and Jetson. It examines methods to optimize resource constraints and maximize performance, such as quantization and model pruning. Students will gain an understanding of how to apply computer vision to embedded systems.
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