Computer Vision - Integral Images (Artificial Intelligence Bootcamp in Python)

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In this lecture we are going to discuss computer vision related approaches such as Haar-features and integral images. The first step in computer vision is to construct relevant features out of the image. Haar-kernels can detect the most relevant set of bits on a given image.

These features can be the input for machine learning approaches such as SVM or deep neural networks.

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COURSE SYLLABUS
✘ Artificial Intelligence Basics
✘ Machine Learning
✘ Artificial Neural Networks
✘ Deep Learning
✘ Reinforcement Learning
✘ Computer Vision (YOLO and SSD)

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Видео Computer Vision - Integral Images (Artificial Intelligence Bootcamp in Python) канала Global Software Support