Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaeyoon Jang"'
Publikováno v:
ETRI Journal, Vol 39, Iss 5, Pp 643-651 (2017)
Human age estimation is one of the key factors in the field of Human–Robot Interaction/Human–Computer Interaction (HRI/HCI). Owing to the development of deep‐learning technologies, age recognition has recently been attempted. In general, howeve
Externí odkaz:
https://doaj.org/article/75c0e5adaa764852b6f66da5ca596d36
Publikováno v:
Electronics
Volume 10
Issue 2
Electronics, Vol 10, Iss 167, p 167 (2021)
Volume 10
Issue 2
Electronics, Vol 10, Iss 167, p 167 (2021)
Image-based facial identity recognition has become a technology that is now used in many applications. This is because it is possible to use only a camera without the need for any other device. Besides, due to the advantage of contactless technology,
Publikováno v:
UR
Facial landmark localization is essential for robot-human interaction. In particular, the human eye is more important because it can grasp a person's interests. However, the traditional method does not consider eye changes from the dataset, so the li
Publikováno v:
ETRI JOURNAL(39): 5
ETRI Journal, Vol 39, Iss 5, Pp 643-651 (2017)
ETRI Journal, Vol 39, Iss 5, Pp 643-651 (2017)
Human age estimation is one of the key factors in the field of Human–Robot Interaction/Human–Computer Interaction (HRI/HCI). Owing to the development of deep‐learning technologies, age recognition has recently been attempted. In general, howeve
Publikováno v:
RO-MAN
This paper proposes a new dentity, gender, and age recognition convergence system for robot environments. In a robot environment, it is difficult to apply deep learning based methods because of various limitations. To overcome the limitations, we pro
Publikováno v:
Social Robotics ISBN: 9783030052034
ICSR
ICSR
This paper presents a multi-pose face registration method for social robot application. A social robot means that it is an autonomous robot to interact and communicate with humans. The first thing in communicating with people is to recognize who they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852e38bffc868680feb00a645bc917a6
https://doi.org/10.1007/978-3-030-05204-1_60
https://doi.org/10.1007/978-3-030-05204-1_60
Publikováno v:
SPIE Proceedings.
We propose a novel face detection algorithm in order to improve higher detection rate of face-detector than conventional haar - adaboost face detector. Our purposed method not only improves detection rate of a face but decreases the number of false-p