Face detection and recognition
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My PhD work is on face detection and recognition. I am currently working on a complete face detection and recognition, in color images with a complex background. I have already good results for my algorithms. This web page will be updated as the project will grow.
A modified skin segmentation based on Terrillon et al. work was successfully obtained. I now
can retrieve from an image with complex background skin areas. See the text bellow for problems.
News[24-Ago-2004] The face detector performs very well using a Viola Jones based method. Not too fast, but accurate.
[22-May-2004] The segmentation is even faster, a new paper was published about this subject.
[12-Nov-2003] The segmentation (ver 1.3) is stable and robust. Now working on face detection.
[30-Set-2003] The segmentation program is available for download since version 1.0. Give the necessary credits when comparing !
[30-Ago-2003] Added a new image, present in another skin detection method. This algorithm alse performs good to the test image (dark skin men playing golf).
[28-Ago-2003] The skin segmentation algorithm is now completed. I am now working on face detection based on the skin segmentation.
[17-Ago-2003] The skin segmentation algorithm is at its final phase. I am accepting images for processing and testing. Use the mail in the footer.
You can test my work. Download the colorseg program from below. This do not include source files, but the segmentation is performed. Enjoy !
The need for better human computer interaction is now a fact and will probably be in the next few years. More friendly and effective methods regarding human activity are in constant development to free users from manual interaction. Gesture recognition, robot interaction, multimedia, face detection and recognition, hand detection, teleconference and many other applications are, or can be based on skin detection to restrict the complexity of further processing. Size, quality and cost of image acquisition are also very important to the rapid growing needs for such systems and commercial applications are now available.
Method?I use a color segmentation method similar to the one presented by Terrillon in the paper Automatic Detection of Human Faces in Natural Scene Images by Use of a Skin Color Model and of Invariant Moments, 1998. Some modifications were made to the scaling method and 'better' (no database for comparison) results are now achieved, since the skin of Caucasian, Asian, African and descents are segmented.
ProblemsThis method if very robust, but also vulnerable when objects are present with a color similar to skin, since we base the segmentation in color. This is the main disadvantage.
Points in favor
ResultsSome images are present that shows the system abilities:
|Filipe António Gonçalves Tomaz
This page is hosted in the University of Algarve
Last update: Tue, 24 Aug 2004 15:30:31 GMT