Fundamentals of Computer
Vision
Assist. Prof. Özge ÖZTİMUR KARADAĞ
Department of Computer Engineering
ALKÜ
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Fundamentals of Computer Vision, Schemes and Mind Maps of Computer Vision
An introduction to the field of computer vision, covering topics such as image processing, learning-based computer vision, image features, object recognition, deep learning, semantic segmentation, and action recognition. It outlines the course structure, including lecture topics, reference books, and the evaluation criteria. The document highlights the relationship between computer vision and other fields like mathematics, computer science, biology, engineering, physics, psychology, and neuroscience. It also discusses the goal of computer vision, which is to bridge the gap between pixels and "meaning," and presents various applications of computer vision, such as neural style transfer, 3d urban modeling, face detection and recognition, optical character recognition, and vision-based interaction and games. A comprehensive overview of the fundamentals of computer vision, making it a valuable resource for students and researchers interested in this field.
Typology: Schemes and Mind Maps
2023/2024
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Fundamentals of Computer
Vision
Assist. Prof. Özge ÖZTİMUR KARADAĞ
Department of Computer Engineering
ALKÜ
12 Feb Introduction to Computer Vision
19 Feb Learning Based Computer Vision - I
26 Feb Learning Based Computer Vision - II
4 March Image Features - I
11 March Image Features - II
18 March Object Recognition
25 March Classification – Neural Networks
30 March – 7 April Midterm
8 April Deep Learning
15 April Deep Learning – Architectures
22 April Deep Learning – Transfer Learning
29 April Semantic Segmentation
6 May Action Recognition
13 May Project Presentations – I
20 May Project Presentations – II
27 May Review – Application Examples
Evaluation
- Midterm %
- Project : %
- Final %
What is Computer Vision?
- What does it deal with?
- What is its relation with image processing?
In Image Processing
- We dealt with image’s
- formation,
- representation,
- enhancement,
- segmentation
To remind you shortly:
Image Formation
Filtering
Filtering
Image Segmentation
Figures from: A. Erdem
Goal in Computer Vision
- Extract ‘meaning’ from image pixels.
- Human are good at it!
- But actually, our visual system can easily deceive us.
Checker Shadow İllusion
Visual Illusions
- Ponzo Illusion
Mathematics
Computer
Science
Biology
Engineering
Physics
Psychology
Computer
Vision
Neuroscience
Machine learning
Speech, NLP
Information retrieval
Robotics
Cognitive sciences
Algorithms, theory,…
Image processing
Systems, architecture, …
optics
Juan Carlos Niebles ve Ranjay Krishna sunumundan alınmıştır.
Image (or video) Sensing device^ Interpreting device^ Interpretations
garden, spring, bridge, water, trees, flower, green, etc.
What is (computer) vision?
Juan Carlos Niebles ve Ranjay Krishna sunumundan alınmıştır.