Computer vision and linguistic analysis

Computer vision overview

We'll be working mainly from a public document called Computer Vision in Interactive Art which is part of a workshop. But there are a few links contained there that are also important references:

• Computer Vision for Artists and Designers by Golan Levin
• Interactive Art and Computational Design by Golan Levin
• Face Tracking Notes for Appropriating New Technologies / Face as Interface workshop
• Eye Tracking Notes for Appropriating New Technologies
• Computer Vision: Algorithms and Applications by Richard Szeliski
• DeepBeliefSDK implements Alex Krizhevsky's 2012 deep convolutional neural network architecture on the GPU in your browser to do image recognition.
• OpenCV-Processing book in progress by Greg Borenstein includes a great ontology of computer vision. He's also responsible for [Making Things See] (https://github.com/atduskgreg/Making-Things-See-Examples) which focuses on Kinect.
• IPhone 5s fingerprint recognition
• For a really great more academic introduction to computer vision that doesn't relate to art, see 3D Computer Vision: Past, Present and Future a presentation by Steve Seitz at Google.
• CV projects tumblr

Linguistic analysis

All part of natural language processing:

• LIWC available for javascript and python
• Sentiment analysis
• natural includes tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity.
• everything but the chat combines a little bit of everything above.
• corpora is a collection of words and phrases by category.
• Psychic Twitter bots