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15. 3D Models From Photos and Videos
Monday, Tutorial, 10:30 am - 12:15 pm
Room 14 A-B
Level: Intermediate

How 3D models can be obtained from photos or video acquired with a hand-held camera. The approach is based on advanced automatic techniques that avoid camera calibration and a priori scene knowledge, and that gradually retrieve more and more information about the images, the cameras, and the scene.

Prerequisites
Basic understanding of 3D geometry and perspective projection. A full appreciation of the course requires some knowledge of projective geometry, computer vision, and image-processing techniques.

Topics
Feature extraction, feature tracking, (wide-baseline) feature matching, multi-view relations, projective structure and motion recovery, self-calibration, bundle adjustment, image-pair rectification, dense stereo matching, multi-view matching, 3D surface modeling and texturing, image-based rendering, and applications.

Organizer
Marc Pollefeys
University of North Carolina at Chapel Hill

Lecturers
Luc Van Gool
Katholieke Universiteit Leuven/Eidgenössische Technische Hochschule Zürich

Marc Pollefeys
University of North Carolina at Chapel Hill

Schedule

10:30 Introduction
Pollefeys
10:45 Feature Tracking and Matching
Van Gool
11:10 Structure and Motion Recovery
Pollefeys
11:30 Dense Model Reconstruction
Pollefeys
Noon Examples, Applications, and Questions
Pollefeys and Van Gool



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