Computer Vision

Last updated Nov 14, 2024 Edit Source

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.

See:

• AI/Deep learning/CNNs
• AI/Deep learning/MLPs
• AI/Deep learning/Transformers
• AI/Generative AI/GenAI
• AI/Deep learning/GANs
• AI/Unsupervised learning/Sparse dictionary learning

• https://github.com/jbhuang0604/awesome-computer-vision
• Papers with code - computer vision
• https://en.wikipedia.org/wiki/Computer_vision
• Denoising: wavelet thresholding

• #BOOK Image Processing and Acquisition using Python (Chityala 2014)
• #BOOK Computer Vision: A Modern Approach (Forsyth, 2011 PEARSON)
  • https://github.com/yihui-he/computer-vision-tutorial/blob/master/Computer%20Vision%20A%20Modern%20Approach%202nd%20Edition.pdf
• #BOOK Computer Vision: Models, Learning, and Inference (Prince, 2012 CAMBRIDGE)
• #BOOK Computer vision (chapter)

• #COURSE Computer Vision (U. Tubingen)
• #COURSE Computer vision (CS543/ECE549, UIUC)
• #COURSE Advances in Computer vision (MIT)
• #COURSE Introduction to computer vision (Udacity, Georgia Tech)
• #COURSE Deep Learning for Computer Vision (UPC TelecomBCN 2016)
• #COURSE Convolutional Neural Networks for Visual Recognition (CS231n, Stanford)
  • Pre-version of the course
  • Notes (Karpathy)
  • Videos for each lecture
• #COURSE Computer vision (NYU)
• #COURSE Digital image processing (U Tartu)
• #COURSE Convolutional Neural Networks for Image Recognition (DeepMind x UCL | Deep Learning Lectures)
  • https://storage.googleapis.com/deepmind-media/UCLxDeepMind_2020/L3%20-%20UUCLxDeepMind%20DL2020.pdf
• #COURSE Advanced Models for Computer Vision(DeepMind x UCL | Deep Learning Lectures)
  • https://storage.googleapis.com/deepmind-media/UCLxDeepMind_2020/L4%20-%20UCLxDeepMind%20DL2020.pdf
• #COURSE Rendering course (TU Wien)
  • This rendering course is an MSc-level class at the Technical University of Vienna. It is about ray tracing, photorealistic rendering and global illumination
  • Playlist

• See “Code” in AI/Computer Vision/Deep CV
• #CODE Scikit-image - Image processing in Python
  • http://scikit-image.org
• #CODE OpenCV - Open Source Computer Vision Library
  • OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
  • https://github.com/opencv/opencv/wiki/Deep-Learning-in-OpenCV
  • #PAPER Real-time computer vision with OpenCV (Pulli 2012)
• #CODE Pillow - The Python Imaging Library adds image processing capabilities to your Python interpreter
  • https://python-pillow.org/
  • https://pillow.readthedocs.io/en/stable/

• #PAPER Brief review of image denoising techniques (Fan 2019)

See AI/Computer Vision/Traditional CV

See AI/Computer Vision/Deep CV