Face Detection using matlab
T.Sudheer Kumar
, N.Vishwanath , K.Karthik
Intra-class variations, Object detection, activity recognition, video Indexing systems, Face detection
Object detection and tracking are important in many computer vision applications, including activity recognition, automotive safety and surveillance. Presented here is an face detection using MATLAB system that can detect not only a human face but also eyes and upper body. Face detection is an easy and simple task for humans, but not so for computers. It has been regarded as the most complex and challenging problem in the field of computer vision due to large intra-class variations caused by the changes in facial appearance, lighting and expression. Such variations result in the face distribution to be highly nonlinear and complex in any space that is linear to the original image space. Face detection is the process of identifying one or more human faces in images or videos. It plays an important part in many biometric, security and surveillance systems, as well as image and video indexing systems.
"Face Detection using matlab", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 1, page no.160 - 166, January-2020, Available :https://ijsdr.org/papers/IJSDR2001028.pdf
Volume 5
Issue 1,
January-2020
Pages : 160 - 166
Paper Reg. ID: IJSDR_191231
Published Paper Id: IJSDR2001028
Downloads: 000347223
Research Area: Engineering
Country: Secunderabad, Telangana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
