3D imaging for acquiring realistic 3D objects for VR and AR

Main organizer:
Min H. Kim, KAIST, Korea

Giljoo Nam, KAIST, Korea
Min H. Kim, KAIST, Korea

The objective of this tutorial is to deliver a comprehensive overview of image-based 3D imaging technologies that are widely adopted to acquire high-quality 3D objects for creating virtual humans and objects for various applications of virtual reality (VR) and augmented reality (AR). This tutorial will help the CASA audience understand the foundations of 3D imaging and also provide comprehensive explanations of the state-of-the-arts for achieving 3D geometry scanning with high accuracy.

This tutorial first forms the basis of 3D imaging, including geometric model, calibration, and triangulation of a camera and a projector. It will explain the conventional pipeline of 3D imaging from processing partial 3D geometries to building a complete 3D model. It will further explain how to obtain geometric details using Shape-from-X techniques and how to use the features to improve scanning accuracy. It will also provide comprehensive overviews of state-of-the-art 3D imaging approaches that can be widely practiced in VR/AR applications.

Foundations of 3D Imaging: A General Pipeline for 3D Imaging, Giljoo Nam

Acquiring High-Quality 3D Shapes using Surface Normals, Giljoo Nam

Coffee break

State-of-the-art 3D Imaging Techniques, Min H. Kim

End of the Tutorial

Attendance: all audience interested in how to create realistic 3D models for VR/AR applications