44: Image-Based Modeling



Tuesday, Half Day
1:30 – 5:15 pm
Room 006AB

As the complexity of image-based models grows, researchers are facing increasing challenges associated with collecting and processing massive amounts of radiance data. This course is an overview of new technologies for collecting and analyzing densely sampled radiance data and building image-based models that are compact, accurate, and easy to render.

Prerequisites
Basic knowledge of rendering and illumination, including reflectance models, shading, and texture mapping. Some knowledge of 3D modeling from images is helpful but not required.

Organizer
Radek Grzeszczuk
Intel Corporation


Lecturers
Jean-Yves Bouguet
Radek Grzeszczuk
Intel Corporation

Leonard McMillan
Massachusetts Institute of Technology

Ko Nishino
University of Tokyo

Hanspeter Pfister
Mitsubishi Electric Research Lab

Marc Pollefeys
Katholieke Universiteit Leuven


Schedule


1:30 Introduction
Grzeszczuk

Re-Rendering From a Dense/Sparse Set of Images
Nishino
2:15 Acquisition of Surface Light Fields
Bouguet
2:45 Hardware-Accelerated Rendering of Surface Light Fields
Grzeszczuk
3:15 Break
3:30 Acquisition of Light Field Data using Hand-Held Camera
Pollefeys
4:15 Image-Based 3D Photography using Opacity Hulls (Part I)
McMillan
4:45 Image-Based 3D Photography Using Opacity Hulls (Part II)
Pfister




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