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




Additional information from SIGGRAPH 2002 Courses is available in the Course Notes
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