Rejection based classifier for face detection

نویسندگان

  • Michael Elad
  • Yacov Hel-Or
  • Renato Keshet
چکیده

Pattern detection problems require a separation between two classes, Target and Clutter, where the probability of the former is substantially smaller compared to that of the latter. In this paper we propose a new classifier that exploits this property, yielding a low complexity yet effective target detection algorithm. This algorithm, called the maximal rejection classifier (MRC), is based on linear successive rejection operations. An application of detecting faces in images is demonstrated using the MRC with encouraging results. 2002 Published by Elsevier Science B.V.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Facial Expression Recognition Based on Anatomical Structure of Human Face

Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

متن کامل

Absolute Contrasts in Face Detection with AdaBoost Cascade

Object detection using AdaBoost cascade classifier was introduced by Viola and Jones in December 2001. This paper presents a modification of their method which allows to obtain even 4-fold decrease in false rejection rate, keeping false acceptance rate – as well as the classifier size and training time – at the same level. Such an improvement is achieved by extending original family of weak cla...

متن کامل

Improved neural network-based face detection method using color images

The paper describes some face detection algorithms using skin color segmentation, Haar-like features and neural networks. The segmentation using skin color labels promising input image areas that may contain faces. The usage of Haar-like features allows fast rejection of the majority of background. Then, the ensemble of retinally connected neural networks performs the final classification of th...

متن کامل

A Novel Face Detection Method Based on Over-complete Incoherent Dictionary Learning

In this paper, face detection problem is considered using the concepts of compressive sensing technique. This technique includes dictionary learning procedure and sparse coding method to represent the structural content of input images. In the proposed method, dictionaries are learned in such a way that the trained models have the least degree of coherence to each other. The novelty of the prop...

متن کامل

Region based elimination of noise pixels towards optimized classifier models for skin pixel detection

The extraction of the skin pixels in a human image and rejection of non-skin pixels is called the skin segmentation. Skin pixel detection is the process of extracting the skin pixels in a human image which is typically used as a pre-processing step to extract the face regions from human image. In past, there are several computer vision approaches and techniques have been developed for skin pixe...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Pattern Recognition Letters

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2002