Computer Vision - Artificial Intelligence
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The document discusses the field of computer vision, highlighting its methods for acquiring, processing, and analyzing images. It covers various applications such as industrial automation, autonomous navigation, and medical image analysis, as well as key tasks like recognition and motion analysis. The organization of computer vision systems is noted to be highly dependent on specific applications, featuring functions like image acquisition, preprocessing, and decision making.
Computer Vision - Artificial Intelligence
- 1. Artificial Intelligence & Image Recognition COMPUTER VISION
- 2. CONTENTS • Introduction • Application • Computer Vision • Recognition • Motion Analysis • Scene Reconstruction • Image Restoration • Computer Vision method
- 3. INTRODUCTION • Computer Vision is a Field That Includes Methods for • Acquiring • Processing • Analyzing • Understanding Images • Produce Numerical information • Sub-Domains of Computer Vision Includes • Scene Recognition • Video Tracking • Object Recognition, etc
- 4. APPLICATIONS • Controlling Processes (Industrial Robots) • Navigations (Autonomous Vehicle) • Detecting Events (People Counting) • Organizing Information (Image Database Indexing) • Modeling Environment (Medical Image Analysis) • Interaction (Computer Human Interaction) • Automatic Inspection (Manufacturing Application)
- 5. COMPUTER VISION • Computer Vision Tasks are • Recognition • Motion Analysis • Scene reconstruction • Image restoration
- 6. COMPUTER VISION METHOD The organization of computer vision system in highly application dependent. There are functions which are found in many computer vision systems • Image Acquisition • Preprocessing • Feature Extraction • Detection/Segmentation • High Level Processing • Decision Making
- 7. PRESENTED BY • Owais Uddin Gilani (B13101107) • Owais Karni (B13101106) • Talha Saleem (B13101154)