“3D Models From Photos and Videos” by Pollefeys and Gool
Type:
Entry Number: 15
Title:
- 3D Models From Photos and Videos
Course Organizer(s):
Presenter(s)/Author(s):
Abstract:
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.
Description
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.
