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Yoshitaka Onishi

dblp:98/1799 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 77% Face, body and person analysis · 23%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Face, body and person analysis › face modeling
face shape modeling
0.012006
Development and Evaluation of Face Robot to Express Various Face Shape · ICRA 2006

Methods — techniques the papers use, named apart from their topics

morphing · 0.13-DOF drive units · 0.1
YearPublicationVenuePosition
2006 Development and Evaluation of Face Robot to Express Various Face Shape
abstract
Your face is one of the most important factors in communicating with people. At present, the TV-phone, which can transmit face information, is becoming a part of modern life. In order to transfer more realistic face information, we propose the face shape robot WD-1 (Waseda-Docomo face robot No.1), which can express various face shapes by morphing an average mask (made of SEPTON) through 19 facial control-points. In this study, an average face mask is made in order to express a wide range of shapes with few control points. The position, number and movement range of the control-points are optimized. In addition, we introduce 3-DOFs drive units and control each control-point on a plane, not at a point. In order to evaluate the performance of WD-1, we measure the shape error between the faces of three subjects and the WD-1 equivalents. We elucidate the weaknesses of the current WD-1 implementation: a paucity of control points on the face line and wrinkling of the mask due to excessive local stress
Kouki Hayashi, Yoshitaka Onishi, Kazuko Itoh, Hiroyasu Miwa, Atsuo Takanishi
ICRA2