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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 15:20 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Facial Expression Recognition with Application of Augmented Reality Technologyon Amusement of Human Body Model in Virtual Reality with Converted Appearanceof Oneself Operated by Whole Body Motion Yang Bowen, Ikoma Norikazu (NIT)  CQ2019-157 |
As an amusement that can be played in response to human motion in real time, the face of tester is beautified from image... [more] | CQ2019-157 pp.119-123 |
| WIT, SP | 2017-10-20 10:20 |
Fukuoka | Tobata Library of Kyutech (Kitakyushu) | Effective skeletons for sign language recognition Tomoya Kodama, Takeshi Saitoh (Kyutech) SP2017-49 WIT2017-45 |
With the reasonable motion sensor Microsoft Kinect was marketed, a lot of sign language recognition methods using Kinect... [more] | SP2017-49 WIT2017-45 pp.83-87 |
| NC, MBE (Joint) |
2014-03-18 15:00 |
Tokyo | Tamagawa University | Human Activity Rcognition with Skeleton-data and Structured Hierarchical Hidden Markov Model Tomoji Sawada, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-141 |
Recognition of human activities nowadays is used not only for monitoring system, but also interface, motion analysis of... [more] |
NC2013-141 pp.305-310 |
| SIS | 2012-03-02 10:00 |
Tokyo | Shibuya Satellite Class, Tokyo City Univ. | Iris Feature Extraction Based on Gray-Scale Morphological Skeleton Nozomi Hayashi, Akira Taguchi (Tokyo City Univ.) SIS2011-69 |
Iris recognition is one of the most reliable biometric technologies. Iris feature extraction is a key issue in iris reco... [more] | SIS2011-69 pp.89-94 |
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