“Obtaining 3D Models With a Hand-Held Camera” by Pollefeys
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Entry Number: 02
Title:
- Obtaining 3D Models With a Hand-Held Camera
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Abstract:
Prerequisites
This tutorial is accessible to a wide audience with diverse backgrounds. It requires 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 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, and applications.
Description
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 image, the cameras, and the scene. Applications range from archaeology to planetary exploration.
