Face Detection by Image Discriminating
Independent thesis Advanced level (degree of Master (One Year))Student thesis
Human face recognition systems have gained a considerable attention during last few years. There are very many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. Human face is non rigid and has very many variations regarding image conditions, size, resolution, poses and rotation. Its accurate and robust detection has been a challenge for the researcher. A number of methods and techniques are proposed but due to a huge number of variations no one technique is much successful for all kinds of faces and images. Some methods are exhibiting good results in certain conditions and others are good with different kinds of images. Image discriminating techniques are widely used for pattern and image analysis. Common discriminating methods are discussed.
Place, publisher, year, edition, pages
2006. , 35 p.
face detection, Principle Component Analysis, Linear Discriminating Analysis
IdentifiersURN: urn:nbn:se:bth-4352Local ID: oai:bth.se:arkivex6C509AE86A297CA4C12571D300512CACOAI: oai:DiVA.org:bth-4352DiVA: diva2:831687
Gustavsson, Prof. Rune
SIPL, Mechatronics, GIST 1 Oryong-Dong, Buk-Gu, Gwangju, 500-712 South Korea tel. 0082-62-970-29972015-04-222006-08-232015-06-30Bibliographically approved