Abstract
In this paper, we propose an automatic evaluating system of human skin surface condition based on subjective evaluation provided by cosmeticians. In the proposed system, image features extracted on skin image and subjective evaluation by cosmeticians are flexibly connected by using a back-propagation neural network, so that it can automatically estimate human skin surface condition on based on subjective evaluation from our various skin images. We show some experimental results. Using the trained neural network, human skin surface condition based on subjective evaluation is estimated for unlearned skin images. Then subjective evaluation by this system was compared with that by cosmeticians. Since the proposed system can successfully estimate human skin surface condition like cometicians, the effect of the system is demonstrated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Publisher | IEEE |
| Pages | 218-223 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 2000 |
| Event | 2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA Duration: 2000 Oct 8 → 2000 Oct 11 |
Other
| Other | 2000 IEEE International Conference on Systems, Man and Cybernetics |
|---|---|
| City | Nashville, TN, USA |
| Period | 00/10/8 → 00/10/11 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
Evaluating system of human skin surface condition by image processing. / Takemae, Yoshinao; Saito, Hideo; Ozawa, Shinji.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 1 IEEE, 2000. p. 218-223.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluating system of human skin surface condition by image processing
AU - Takemae, Yoshinao
AU - Saito, Hideo
AU - Ozawa, Shinji
PY - 2000
Y1 - 2000
N2 - In this paper, we propose an automatic evaluating system of human skin surface condition based on subjective evaluation provided by cosmeticians. In the proposed system, image features extracted on skin image and subjective evaluation by cosmeticians are flexibly connected by using a back-propagation neural network, so that it can automatically estimate human skin surface condition on based on subjective evaluation from our various skin images. We show some experimental results. Using the trained neural network, human skin surface condition based on subjective evaluation is estimated for unlearned skin images. Then subjective evaluation by this system was compared with that by cosmeticians. Since the proposed system can successfully estimate human skin surface condition like cometicians, the effect of the system is demonstrated.
AB - In this paper, we propose an automatic evaluating system of human skin surface condition based on subjective evaluation provided by cosmeticians. In the proposed system, image features extracted on skin image and subjective evaluation by cosmeticians are flexibly connected by using a back-propagation neural network, so that it can automatically estimate human skin surface condition on based on subjective evaluation from our various skin images. We show some experimental results. Using the trained neural network, human skin surface condition based on subjective evaluation is estimated for unlearned skin images. Then subjective evaluation by this system was compared with that by cosmeticians. Since the proposed system can successfully estimate human skin surface condition like cometicians, the effect of the system is demonstrated.
UR - http://www.scopus.com/inward/record.url?scp=0034504618&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034504618&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0034504618
VL - 1
SP - 218
EP - 223
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
PB - IEEE
ER -