FACEDETECT - Face Detection

Example of a detected face

Goals

This project was a part of a PhD thesis work and was done in collaboration with another international research partner. The group at LUT mainly contributed by providing a method for robust and accurate detection and extraction of local image features (face parts).

This project was a collaborative effort between the Centre for Vision, Speech, and Signal Processing (CVSSP), University of Surrey, UK and Laboratory of Information Processing, Lappeenranta University of Technology.

Most importantly, this project, and especially the impressive results achieved, lead to a more challening and broader research topic: OBJECT - Object Detection, Localisation and Recognition.

Sub-projects

News

Project has ended, but the work continues...

Contact information

Lappeenranta University of Technology
Joni Kämäräinen E-mail WWW Post-doc researcher
Jarmo Ilonen E-mail WWW Post-graduate researcher
Pekka Paalanen E-mail WWW Post-graduate researcher
Heikki Kälviäinen E-mail WWW Professor
Ville Kyrki E-mail WWW Post-doc researcher
University of Surrey
Miroslav Hamouz E-mail WWW Post-doc researcher
Josef Kittler E-mail WWW Professor

Download

Source code

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Data sets

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Links to other resources

General information
Resources for Face DetectionGeneral
The face detection homepage by Dr. R. FrischholzGeneral (BioId author)
Research groups
The vision and autonomous systems center, Carnegie Mellon Univ., USAVarious projects
Computer Vision and Robotics, Univ. of Cambridge, UKVarious projects
Shakunaga Lab, Okayama University, JapanFace tracking
Facial image databases
M2VTS Prototype System for Face Verification
Robotics Institute: Face databases (MIT / CMU)
BioID Face Database
Face recognition vendor test

Documentation

Do not hesitate to to contact authors (e-mail, etc.) in order to retrieve copies or reprints of the following publications.

  1. Articles in international scientific journals with referee practice
    1. Miroslav Hamouz, Josef Kittler, Joni-Kristian Kämäräinen, Pekka Paalanen, Heikki Kälviäinen, Jiri Matas, IEEE Transactions on Pattern Analysis and Machine Intelligence, Feature-Based Affine-Invariant Localization of Faces, (2005) pp. 1490-1495, No. 9 Vol. 27
    2. Joni-Kristian Kämäräinen, Ville Kyrki, Heikki Kälviäinen, IEEE Transactions on Image Processing, Invariance Properties of Gabor Filter Based Features - Overview and Applications, (2006) pp. 1088-1099, No. 5 Vol. 15
  2. Articles in international compilation works and in international scientific conference proceedings with referee practice
    1. Joni-Kristian Kämäräinen, Ville Kyrki, Miroslav Hamouz, Josef Kittler, Heikki Kälviäinen, Proc. of the IAPR Workshop on Machine Vision Applications, Invariant Gabor Features for Face Evidence Extraction, (2002) pp. 228-231,
    2. Miroslav Hamouz, Josef Kittler, Joni-Kristian Kämäräinen, Heikki Kälviäinen, Proc. of the 4th Int. Conf. on the Audio- and Video-Based Biometric Person Authentication, Affine Invariant Localization of Faces in Verification Systems, (2003) pp. 276-284,
    3. Miroslav Hamouz, Josef Kittler, Joni-Kristian Kämäräinen, Heikki Kälviäinen, Proc. of the 4th Int. Conf. on the Audio- and Video-Based Biometric Person Authentication (AVBPA2003), Hypotheses-Driven Affine Invariant Localization of Faces in Verification Systems, (2003) pp. 276-284,
    4. Miroslav Hamouz, Josef Kittler, Joni-Kristian Kämäräinen, Pekka Paalanen, Heikki Kälviäinen, Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition, Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model, (2004) pp. 67--72,
    5. Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kämäräinen, Heikki Kälviäinen, Proceedings of the 18th International Conference on Pattern Recognition, Gaussian mixture pdf in one-class classification: computing and utilizing confidence values, (2006) pp. 577--580, Vol. 2
  3. Scientific monographs
    1. Joni-Kristian Kämäräinen, Ph.D thesis, Feature Extraction Using Gabor Filters, (2003) pdf (2.47 MB)