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FreeAI/Machine Learningintermediate

Computer Vision

Grasp a foundational understanding of computer vision, you'll explore the principles of image formation and filtering

2 weeksEN12 lessons455 enrolled

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Computer Vision

Course Curriculum

1 modules · 4 subjects · 12 lessons
01
Foundations of Computer VisionThis comprehensive course provides a foundational understanding of computer vision, covering everything from the basics of image formation and filtering to advanced topics in image analysis and machine learning techniques.
4 subjects
Image Formation
3 lessons
  • Pinhole Camera and Perspective ProjectionA focused lesson on Pinhole Camera and Perspective Projection with hands-on exercises and theory.
  • Lenses and ExposureA focused lesson on Lenses and Exposure with hands-on exercises and theory.
  • Pixels, Artifacts and CompressionA focused lesson on Pixels, Artifacts and Compression with hands-on exercises and theory.
Image Filtering
4 lessons
  • Convolution and LTI SystemsA focused lesson on Convolution and LTI Systems with hands-on exercises and theory.
  • Space and Frequency AnalysisA focused lesson on Space and Frequency Analysis with hands-on exercises and theory.
  • Pyramids and Multi-scaleA focused lesson on Pyramids and Multi-scale with hands-on exercises and theory.
  • Feature Detection and DescriptorsA focused lesson on Feature Detection and Descriptors with hands-on exercises and theory.
Image Analysis
3 lessons
  • Motion and TrackingA focused lesson on Motion and Tracking with hands-on exercises and theory.
  • Stereo and Epipolar GeometryA focused lesson on Stereo and Epipolar Geometry with hands-on exercises and theory.
  • Image StitchingA focused lesson on Image Stitching with hands-on exercises and theory.
Image Understanding
2 lessons
  • Feature Matching and RANSACA focused lesson on Feature Matching and RANSAC with hands-on exercises and theory.
  • Supervised and Unsupervised LearningA focused lesson on Supervised and Unsupervised Learning with hands-on exercises and theory.

Skill Track

AI/Machine Learning

AI/Machine Learning

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