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Information about computer vision (cs 682) course offered by jana kosecka at george mason university. The goals, prerequisites, required textbooks, and software for the course. It also discusses the biological motivations behind computer vision, the challenges in image understanding, and the synergies with other disciplines and applications. The course focuses on geometry of single and multiple views, object detection and recognition, and modeling with multiple images.
Typology: Study notes
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Computer Vision CS 682
Logistics
Understanding visual sensing modality and its role
Goal of Computer Vision
Synergies with other disciplines and various applications Artificial Intelligence ( Robotics, Natural Language Understanding) Vision as a sensor – medical imaging, Geospatial Imaging, robotics visual surveilance, inspection
Visual SensingVisual Sensing
Images I(x,y) –Images I(x,y)– brightness patternsbrightness patterns
Challenges/IssuesChallenges/Issues
Modeling with Multiple Images
University High School, Urbana, Illinois Three of Twelve Images
Vision-Based Control, Surveillance applications
Visual navigation (^) Automated Landing
Automated Driving
Visual surveillance
wide area surveillance, traffic monitoring Interpretation of different activities
Virtual and Augmented Reality, Human computer Interaction
Virtual object insertion various gesture based interfaces Interpretation of human activities Enabling technologies of intelligent homes, smart spaces
Topics
Rigid body motion Image Formation Perspective Projection
y
Image plane
Basic Ingredients – Course Overview
Examples
Example - Euclidean multi-view reconstruction
Euclidean Reconstruction Texture mapping, hole filling
Texture mapping
Modeling choices And Model recovery
How to use prior scene knowledge