Computer Vision
Computer Vision focuses on enabling computers to interpret, analyze, and understand visual data from the real world. It involves developing algorithms and techniques that enable computers to process and extract meaningful information from images and videos, such as object recognition, face detection, and motion analysis. Computer vision has become a vital technology with numerous applications in various domains, including healthcare, manufacturing, transportation, security, entertainment, and more. With the rapid advancements in computer processing power, machine learning, and deep learning, computer vision researchers have made significant progress over the past years, enabling computers to perform tasks that were once thought to be impossible.
Topics
- Low-level Vision
- Image filtering and enhancement
- Edge detection and corner detection
- Feature detection and matching
- Image segmentation and region detection
- Optic flow and motion analysis
- Mid-Level Vision
- Object recognition and detection
- Scene understanding and classification
- Tracking and localization
- Pose estimation and 3D reconstruction
- Image retrieval and indexing
- High-Level Vision
- Visual reasoning and decision-making
- Visual question answering
- Image and video captioning
- Semantic segmentation and labeling
- Human activity recognition and understanding