Abstract
Face detection algorithms have primary factors that decrease a detection ratio: variations in lighting effect, location and rotation, distance between objects, and complex background. Variations in illumination, background, visual angle and facial expressions make the face detection difficult [1], [2]. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex background. Our method detects skin regions over the entire image, and then generates face candidate based on the spatial arrangement of these skin patches. The algorithm constructs eyes, mouth, nose, and boundary maps for verifying each face candidate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, J.O., Kim, J.S., Chung, C.H. (2004). Face Region Detection on Skin Chrominance from Color Images by Facial Features. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_79
Download citation
DOI: https://doi.org/10.1007/978-3-540-30544-6_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24030-3
Online ISBN: 978-3-540-30544-6
eBook Packages: Computer ScienceComputer Science (R0)