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54: Obtaining 3D Models With a Hand-Held Camera
Wednesday, Tutorial
10:30 am – 12:15 pm
Room 006CD
How 3D models can be obtained from images acquired with
a hand-held camera. The approach is based on advanced
automatic techniques that avoid camera calibration and
a priori scene knowledge, which gradually retrieve more
and more information about the images, the cameras, and
the scene.
Prerequisites
Basic understanding of 3D geometry and perspective projection.
Full appreciation of this course requires some knowledge
of projective geometry, computer vision, and image-processing
techniques.
Topics
Feature-point extraction and matching, multi-view relations,
robust matching, projective structure and motion recovery,
self-calibration, bundle adjustment, image-pair rectification,
dense stereo matching, multi-view matching, 3D surface
modeling, texturing, and applications.
Organizer/Lecturer
Marc Pollefeys
Katholieke Universiteit Leuven
Schedule
| 10:30 |
Introduction
Pollefeys |
| 10:45 |
Structure
and Motion Recovery
-- Feature Point Extraction and Matching
-- Relating Images
-- Projective Structure and Motion
-- Self-Calibration
Pollefeys |
| 11:45 |
Dense
Model Reconstruction
-- Dense Depth Estimation
-- Modeling
Pollefeys |
| 12:15 |
Examples,
Applications and Questions
Pollefeys |
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