Abstract
Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide variety of facial variations in color, position, scale, rotation, pose, and expression from several photo collections.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing |
| Pages | 1046-1049 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - Jan 1 2001 |
| Externally published | Yes |
| Event | IEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001 |
Other
| Other | IEEE International Conference on Image Processing (ICIP) 2001 |
|---|---|
| Country | Greece |
| City | Thessaloniki |
| Period | 10/7/01 → 10/10/01 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Face detection in color images. / Hsu, R. L.; Abdel-Mottaleb, Mohamed; Jain, A. K.
IEEE International Conference on Image Processing. Vol. 1 2001. p. 1046-1049.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Face detection in color images
AU - Hsu, R. L.
AU - Abdel-Mottaleb, Mohamed
AU - Jain, A. K.
PY - 2001/1/1
Y1 - 2001/1/1
N2 - Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide variety of facial variations in color, position, scale, rotation, pose, and expression from several photo collections.
AB - Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Our method detects skin regions over the entire image, and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful detection over a wide variety of facial variations in color, position, scale, rotation, pose, and expression from several photo collections.
UR - http://www.scopus.com/inward/record.url?scp=0035167094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035167094&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0035167094
VL - 1
SP - 1046
EP - 1049
BT - IEEE International Conference on Image Processing
ER -