📗 -> 9/26/24: Introduction
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🎤 Vocab
❗ Unit and Larger Context
Small summary
✒️ -> Scratch Notes
Computer Vision Tasks:
Low Level Vision
- Measurements
- Enhancements
- Region segmentation
- Features
Mid Level Vision
- Reconstruction
- Depth
- Motion Estimation
High Level Vision
- Category detection
- Activity recognition
- Deep understandings
Challenges:
It’s an ill-posed problem. Trying to measure 3D world in 2D space
- View point variation
- Illumination
- Lighting differences, dark room vs bright room
- Occlusion
- Object in front of another
- Deformation
- Background Clutter
- Object Intra-Class Variation
- Objects dont always look the same, there are a LOT of chairs
- Local Ambiguity
- Need context to classify things correctly. Is a piece of wood a tree branch or a walking stick?
- The world behind the image
Uses Today
- Reading license plates, zip codes, checks
- Biometrics
- Mobile visual search
- Scanning a scene with your phone
- Google Goggles - http://www.google.com/mobile/goggles/
- Face Detection
- Smile Detection
- Face Recognition
- Object Recognition
- Security
- Automotive Safety
- Vision based interaction
- Xbox Kinect
- Augmented Reality
- Special Effects: Motion Capture, CGI
- Robotics Vision
- Medical Imaging
Other Fields Using CV
Biology Research (classifying species, automation)
Cosmology
Healthcare
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