Kyushu University Academic Staff Educational and Research Activities Database
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Hiroshi Kawasaki Last modified date:2021.04.23





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Homepage
https://kyushu-u.pure.elsevier.com/en/persons/hiroshi-kawasaki
 Reseacher Profiling Tool Kyushu University Pure
http://www.cvg.ait.kyushu-u.ac.jp
Phone
092-802-3571
Academic Degree
Dr (Computer engineering)
Field of Specialization
3D Computer Vision ang Grahics
Research
Research Interests
  • Computer vision and graphics, AR/VR/MR
    keyword : Computer vision and graphics, AR/VR/MR
    2017.04.
Academic Activities
Books
1. Katsushi Ikeuchi, Yasuyuki Matsushita, Ryusuke Sagawa, Hiroshi Kawasaki, Yasuhiro Mukaigawa, Ryo Furukawa, Daisuke Miyazaki , Active Lighting and Its Application for Computer Vision
-40 Years of History of Active Lighting Techniques-
, Springer, 10.1007/978-3-030-56577-0, 303 pages, 2020.10, [URL], 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.
Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision.

This book consists of three parts: basic concepts, techniques, and applications. The first part explains the basic concepts for understanding active illumination techniques. In particular, the basic concepts of optics are explained so that researchers and engineers outside the field can understand the later chapters. The second part explains currently available active illumination techniques, covering many techniques developed by the authors. The final part shows how such active illumination techniques can be applied to various domains, describing the issue to be overcome by active illumination techniques and the advantages of using these techniques. This book is primarily aimed at 4th year undergraduate and 1st year graduate students, and will also help engineers from fields beyond computer vision to use active illumination techniques. Additionally, the book is suitable as course material for technical seminars..
Membership in Academic Society
  • IEEE
  • -
  • VRSJ
  • IEICE
  • IPSJ
Awards
  • Best Interactive Session Paper Award
  • Honorary Nominated as Best Paper Award
  • Best Interactive Session Paper Award
  • ACCV Best Paper Award
  • Best Interactive Session Paper Award
  • 電気学会優秀論文発表賞A?
  • Best Demonstration Award
  • Best Interactive Session Paper Award
  • 最優秀論文賞候補
  • ベストポスター賞
  • Best Paper Award
  • 最優秀論文賞候補
  • 情報処理学会山下記念研究賞?
  • MIRU長尾賞(ベストペーパー賞)
  • 全国大会優秀賞?
  • 優秀論文賞
  • IPSJ Transactions on CVA Outstanding Paper Award
  • 優秀発表賞
  • 山下記念研究賞
  • MIRU優秀論文賞受賞
  • Gold prize Best Paper Award
  • ?平成27年度日本生体医工学会論文賞・阪本賞
  • 大会奨励賞
  • Best Paper Award
  • Best Interactive Session Paper Award
  • Best paper award - runner up.
  • Student Encouragement Award
  • Student Encouragement Award
  • Encouragement Award
  • 優秀学術賞
  • Student Encouragement Award
  • Best Presentation Paper Award
  • MIRU フロンティア賞
  • KUKA award (the 3rd best paper)
  • CVIM研究会 奨励賞?
  • Best Paper Honorable mention
  • 優秀研究発表賞受賞(映像情報メディア学会)
  • KUKA Best paper award (the 3rd place of entire submission)
  • the best student oral presentation award (only one from over 20 submissions)
  • Best Poster Paper Award