Active Lighting and Its Application for Computer Vision 40 Years of History of Active Lighting Techniques

This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene.

Part I: Basics and Theory

Photometry

Geometry

Sensors

Light Sources

Part II: Algorithms

Photometric stereo

Structured light

Other shape reconstruction techniques

Photometric estimation

Part III: Applications

Visualization, Augmented Reality, Virtual Reality, and Mixed Reality Systems

Biomedical Applications

E-Heritage

Robot Vision, Autonomous Vehicles, and Humans

Dr. Katsushi Ikeuchi is a Principal Researcher at Microsoft Research Asia, Beijing, China, and an Emeritus Professor of the University of Tokyo, Japan.

Dr. Hiroshi Kawasaki is a Professor in the Department of Advanced Information Technology and Head of the Computer Vision and Graphics Laboratory at Kyushu University, Fukuoka, Japan.

Dr. Yasuhiro Mukaigawa is a Professor in the Division of Information Science and Head of the Optical Media Interference Laboratory at Nara Institute of Science and Technology (NAIST), Ikoma, Japan.

Dr. Ryusuke Sagawa is a Senior Researcher in the Interactive Robotics Research Group of the Intelligent Systems Research Institute at the National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan

Dr. Ryo Furukawa and Dr. Daisuke Miyazaki are Associate Professors in the Image Media Engineering and Computer Graphics Laboratory of the Department of IntelligentSystems at Hiroshima City University, Japan.

Dr. Yasuyuki Matsushita is a Professor in the Information Science and Technology Department at Osaka University, Japan, where he leads a laboratory focusing on computer vision, machine learning, data mining, information and knowledge processing, and their applications in human-computer interaction.