A Robust Face Detection Method Using Probability Maps

نویسندگان

  • MIKI MATSUMOTO
  • OSAMU UCHIDA
  • SHOHACHIRO NAKANISHI
چکیده

Face detection plays an important role in various applications, such as face recognition, video surveillance, and human-computer interface. In the present paper, we propose a new face detection method using the probability maps. The basic concept of the proposed method involves the use of the property of the deviation of the position of the complex region and flat region of the face. Experimental results indicate that the proposed method is more robust with respect to variation of scale and rotation compared to conventional method. Key-Words: Face detection, Probability maps, Local binary patterns, Modified local binary patterns.

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

Face Detection with methods based on color by using Artificial Neural Network

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

متن کامل

Multi-View Face Detection in Open Environments using Gabor Features and Neural Networks

Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...

متن کامل

Face Detection by Orientation Map Matching

This paper describes a fast and accurate face detection method based on edge orientation map matching of colour images. Face detection speed and accuracy is crucial to realtime face recognition applications but still remains a problem even though much research effort has been devoted to face detection algorithms. What make our method different from existing works are that only simple computatio...

متن کامل

Robust Real-Time Face Detection Using Hybrid Neural Networks

In this paper, a multi-stage face detection method using hybrid neural networks is presented. The method consists of three stages: preprocessing, feature extraction and pattern classification. We introduce an adaptive filtering technique which is based on a skin-color analysis using fuzzy minmax(FMM) neural networks. A modified convolutional neural network(CNN) is used to extract translation in...

متن کامل

Face detection in a video sequence - a temporal approach

This paper presents a new method for detecting faces in a video sequence where detection is not limited to frontal views. The three novel contributions of the paper are : 1) Accumulation of probabilities of detection over a sequence. This allows to obtain a coherent detection over time as well as independence from thresholds. 2) Prediction of the detection parameters which are position, scale a...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008