Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Masaki Oshita"'
Publikováno v:
2022 International Conference on Cyberworlds (CW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b7cc70e08b530df75b0216fe2469cf
https://doi.org/10.1109/cw55638.2022.00026
https://doi.org/10.1109/cw55638.2022.00026
Publikováno v:
The Visual Computer. 35:1517-1529
In this paper, we propose a prototype of a self-training system for tennis forehand shots that allows trainees to practice their motion forms by themselves. Our system includes a motion capture device to record the trainee’s motion, and the system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eff69e25a200b36de79643de6faefe2f
https://doi.org/10.1007/s00371-019-01662-1
https://doi.org/10.1007/s00371-019-01662-1
Autor:
Masaki Oshita, Yuanyuan Peng
Publikováno v:
International Workshop on Advanced Imaging Technology (IWAIT) 2021.
We use deep learning technique for predicting temporary target position of each controlling agent in crowd simulation. Our deep learning model is based on recurrent neural network, which can predict a heatmap that represents the surrounding situation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dab6afbc72c9f483375bc6a9ddcd1667
https://doi.org/10.1117/12.2591025
https://doi.org/10.1117/12.2591025
Publikováno v:
Metals and Materials International. 24:1143-1148
The explosive compaction fabrication process of cylindrical uni-directional porous copper, consisting of an outer pipe completely filled with smaller inner pipes, was investigated by experimental and computational simulations to analyze and optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49ef6e2f3d051c227600242fe523dd2
https://doi.org/10.1007/s12540-018-0059-x
https://doi.org/10.1007/s12540-018-0059-x
Publikováno v:
The Journal of the Society for Art and Science. 16:138-153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa7ca1d0e59bf670b3b7a8602f0671a6
https://doi.org/10.3756/artsci.16.138
https://doi.org/10.3756/artsci.16.138
Autor:
Masaki Oshita
Publikováno v:
VRCAI
The understanding of human motion is important in many areas such as sports, dance, and animation. In this paper, we propose a method for visualizing the manifold of human motions. A motion manifold is defined by a set of motions in a specific motion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b28cfde538b16559929c4da85fa4dfd0
https://doi.org/10.1145/3359997.3365684
https://doi.org/10.1145/3359997.3365684
Publikováno v:
MIG
A clip of character motion can be adapted to a change in environment or to another character of a different body size via a numerical optimization with several tasks including the objective of movement and physical constraints. Conventional methods,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a05ac1e4a47dc4740cbf3940f7f0b036
https://doi.org/10.1145/3359566.3360081
https://doi.org/10.1145/3359566.3360081
Autor:
Masaki Oshita, Kouhei Hino
Publikováno v:
CW
In this paper, we propose a tangible interface using three-dimensional (3D) printed figures to search for the combat motion of two characters, which consist of an attacking motion of one character and the associated defending or avoiding motion of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7564aa982e7abe88ff127e4e9b5180a6
https://doi.org/10.1109/cw.2019.00023
https://doi.org/10.1109/cw.2019.00023
Autor:
Masaki Oshita
Publikováno v:
Computer Animation and Virtual Worlds. 30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e1838880d23df02f1bbb704a875411
https://doi.org/10.1002/cav.1878
https://doi.org/10.1002/cav.1878
Publikováno v:
CW
This paper describes a prototype self-training system for tennis forehand shots that allows trainees to practice their motion forms by themselves. Our system uses a motion capture device to record a trainee's motion, and visualizes the differences be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::619a403ca957454d4bce1df92eb1cef9
https://doi.org/10.1109/cw.2018.00025
https://doi.org/10.1109/cw.2018.00025