Definition
Computer Vision (CV) is the field of AI focused on enabling machines to interpret and analyze visual information from images or videos. It powers applications such as detection, recognition, and tracking.
Purpose
The purpose is to automate visual perception tasks that humans perform. CV is used in healthcare imaging, self-driving cars, manufacturing inspection, and security.
Importance
- Key technology for autonomous systems.
- Improves safety and efficiency in industries.
- Raises privacy concerns in surveillance applications.
- Requires large, diverse datasets to avoid bias.
How It Works
- Capture images or video data.
- Preprocess and normalize the input.
- Extract features (manual or with deep learning).
- Train models to detect or classify objects.
- Evaluate and refine with test data.
Examples (Real World)
- Tesla Autopilot: uses CV for lane and object detection.
- Google Photos: CV used for object recognition and search.
- Medical imaging AI: CV applied for tumor detection in radiology.
References / Further Reading
- Computer Vision: Algorithms and Applications — Szeliski, Springer.
- COCO Dataset — cocodataset.org.
- IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI).