Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features 

Abstract

In real world applications, it is very challenging to implement a good detector which gives best performance with great speed and accuracy. There is always a trade-off in terms of speed and accuracy, when we consider performance of a face detector. In the current work we have implemented a robust face detector which uses the new concept called integral Haar histograms with CMBLBP or CSMBLBP (circular multi block local binary operator).Our detector runs for real world applications and its performance is far better than any of the present detector. It works with good speed and enough accuracy with varying face sizes, varying illumination, varying angle, different face expressions, rotation, scaling like challenges which are mostly issues of concern in the domain of face detection. We use Matlab and Image processing tool box for the implementation of the above mentioned technique. 

Authors and Affiliations

Dr. P. K. Suri , Er. Amit Verma

Keywords

Related Articles

Comparative Analysis of Cow Disease Diagnosis Expert System using Bayesian Network and Dempster-Shafer Method

Livestock is a source of animal protein that contains essential acids that improve human intelligence and health. Popular livestock in Indonesia is cow. Consumption of meat per capita is increased by 0.1% kg / capita / y...

The Art of Crypto Currencies

Crypto Currencies have recently gained enormous popularity amongst the general public. With each passing day, more and more companies are radically accepting crypto cur-rencies in their payment systems, paving way for an...

Performance Evaluation of IPv4/IPv6 Transition Mechanisms for Real-Time Applications using OPNET Modeler

The problem of the potential depletion of IPv4 addresses has given rise to the development of a new version of the Internet Protocol named IPv6. This version of the protocol offers many improvements, including an increas...

Instrument Development for Measuring the Acceptance of UC&C: A Content Validity Study

Studies on the acceptance of Unified Communications and Collaboration (UC&C) tools such as instant messaging and video conferencing have been around for some time. Adoption and acceptance of UC&C tools and services has b...

A Survey on Location Privacy-Preserving Mechanisms in Mobile Crowdsourcing

Mobile Crowdsourcing (MCS) surfaced as a new affluent method for data collection and processing as a result of the boom of sensor-rich mobile devices popularity. MCS still has room for improvement, particularly in protec...

Download PDF file
  • EP ID EP155520
  • DOI -
  • Views 66
  • Downloads 0

How To Cite

Dr. P. K. Suri, Er. Amit Verma (2011). Robust Face Detection Using Circular Multi Block Local Binary Pattern and Integral Haar Features . International Journal of Advanced Computer Science & Applications, 2(9), 67-71. https://europub.co.uk/articles/-A-155520