Hideo Saito mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Augmented reality and Feature extraction. His work in Image processing, Iterative reconstruction, Virtual reality, Real image and Pixel is related to Artificial intelligence. His research on Computer vision frequently links to adjacent areas such as Interpolation.
He has researched Computer graphics in several fields, including Virtual image and Camera resectioning. The study incorporates disciplines such as Visual marker, Guitar, Multimedia and Image retrieval in addition to Augmented reality. His studies in Feature extraction integrate themes in fields like Natural, Texture mapping, Deformation and Image texture.
Artificial intelligence, Computer vision, Computer graphics, Augmented reality and Image are his primary areas of study. His biological study spans a wide range of topics, including Surface and Pattern recognition. His Computer vision study often links to related topics such as Position.
His work on Rendering as part of his general Computer graphics study is frequently connected to Projective geometry, thereby bridging the divide between different branches of science. Hideo Saito integrates several fields in his works, including Augmented reality and Overlay. His study brings together the fields of Segmentation and Object.
Hideo Saito focuses on Artificial intelligence, Computer vision, Augmented reality, RGB color model and Segmentation. The concepts of his Artificial intelligence study are interwoven with issues in Frame and Pattern recognition. His Pattern recognition research is multidisciplinary, incorporating perspectives in Superquadrics and Representation.
His Computer vision study frequently draws connections to adjacent fields such as Computer graphics. As a part of the same scientific study, Hideo Saito usually deals with the Computer graphics, concentrating on Visualization and frequently concerns with Diminished reality, Set and Perspective. His Segmentation research includes themes of Semantic mapping and Simultaneous localization and mapping.
His primary scientific interests are in Artificial intelligence, Computer vision, Augmented reality, Computer graphics and RGB color model. His research in Artificial intelligence focuses on subjects like Frame, which are connected to Image stitching. His study explores the link between Computer vision and topics such as Visualization that cross with problems in Autoencoder.
His work carried out in the field of Augmented reality brings together such families of science as Multimedia and Cognitive neuroscience of visual object recognition. His Computer graphics study integrates concerns from other disciplines, such as Three-CCD camera, Camera resectioning and Iterative reconstruction. His research in RGB color model intersects with topics in 3D reconstruction, Polygon mesh, Moving least squares and Motion capture.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Hand pattern switch device
Keiichi Yamamoto;Hiromitsu Sato;Hideo Saito;Shinji Ozawa.
Shape reconstruction in projective grid space from large number of images
H. Saito;T. Kanade.
computer vision and pattern recognition (1999)
Parallel tracking of all soccer players by integrating detected positions in multiple view images
S. Iwase;H. Saito.
international conference on pattern recognition (2004)
The 3D Room: Digitizing Time-Varying 3D Events by Synchronized Multiple Video Streams
Takeo Kanade;Hideo Saito;Sundar Vedula.
A Novel Inpainting-Based Layered Depth Video for 3DTV
I Daribo;H Saito.
IEEE Transactions on Broadcasting (2011)
Random dot markers
Hideaki Uchiyama;Hideo Saito.
ieee virtual reality conference (2011)
Appearance-based virtual view generation of temporally-varying events from multi-camera images in the 3D room
H. Saito;S. Baba;M. Kimura;S. Vedula.
digital identity management (1999)
Advances in Artificial Reality and Tele-Existence
Zhigeng Pan;Adrian Cheok;Michael Haller;Rynson W. H. Lau.
Human hand tracking from binocular image sequences
K. Nirei;H. Saito;M. Mochimaru;S. Ozawa.
international conference on industrial electronics control and instrumentation (1996)
Support system for guitar playing using augmented reality display
Yoichi Motokawa;Hideo Saito.
international symposium on mixed and augmented reality (2006)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: