Abstract
This paper proposes a neural network system to detect human faces. Our scheme is composed of a preprocess and KenzanNET. Preprocessing analyzes hyperspectral images by using a hybrid self-organizing classification model to extract skin area and making a facial candidate pattern based on the extracted skin area. KenzanNET discriminate a face from other body parts. KenzanNET is a kind of feed forward neural network and is made from CombNET [ I[ improved by an additional learning function. Under the various conditions in terms of background and brightness in a room and the distance between people and camera, our system can detect human face with 76.9% accuracy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 453-458 |
| Number of pages | 6 |
| Volume | 1 |
| ISBN (Electronic) | 0780354893, 9780780354890 |
| DOIs | |
| Publication status | Published - 1999 Jan 1 |
| Event | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 - Honolulu, United States Duration: 1999 Jul 10 → 1999 Jul 15 |
Other
| Other | 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999 |
|---|---|
| Country | United States |
| City | Honolulu |
| Period | 99/7/10 → 99/7/15 |
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ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Materials Science (miscellaneous)
Cite this
Human Face Detection System by Kenzan NET with preprocess analyzing hyperspectral image. / Chashikawa, Takakazu; Fujii, Keizo; Takefuji, Yoshiyasu.
Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 1999. p. 453-458 792522.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Human Face Detection System by Kenzan NET with preprocess analyzing hyperspectral image
AU - Chashikawa, Takakazu
AU - Fujii, Keizo
AU - Takefuji, Yoshiyasu
PY - 1999/1/1
Y1 - 1999/1/1
N2 - This paper proposes a neural network system to detect human faces. Our scheme is composed of a preprocess and KenzanNET. Preprocessing analyzes hyperspectral images by using a hybrid self-organizing classification model to extract skin area and making a facial candidate pattern based on the extracted skin area. KenzanNET discriminate a face from other body parts. KenzanNET is a kind of feed forward neural network and is made from CombNET [ I[ improved by an additional learning function. Under the various conditions in terms of background and brightness in a room and the distance between people and camera, our system can detect human face with 76.9% accuracy.
AB - This paper proposes a neural network system to detect human faces. Our scheme is composed of a preprocess and KenzanNET. Preprocessing analyzes hyperspectral images by using a hybrid self-organizing classification model to extract skin area and making a facial candidate pattern based on the extracted skin area. KenzanNET discriminate a face from other body parts. KenzanNET is a kind of feed forward neural network and is made from CombNET [ I[ improved by an additional learning function. Under the various conditions in terms of background and brightness in a room and the distance between people and camera, our system can detect human face with 76.9% accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85040015258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040015258&partnerID=8YFLogxK
U2 - 10.1109/IPMM.1999.792522
DO - 10.1109/IPMM.1999.792522
M3 - Conference contribution
AN - SCOPUS:85040015258
VL - 1
SP - 453
EP - 458
BT - Proceedings of the 2nd International Conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999
PB - Institute of Electrical and Electronics Engineers Inc.
ER -