EPURU NITHISH KUMAR et al.: HIGH ACCURATE LOW COMPLEX FACE DETECTION BASED ON KL TRANSFORM AND YCBCR GAUSSIAN MODEL

نویسندگان

  • Epuru Nithish Kumar
  • Gaddam Manoj Kumar
  • Gunda Venkatesh
  • Sai Jaswanth
چکیده

This paper presents a skin color model for face detection based on YCbCr Gauss model and KL transform. The simple gauss model and the region model of the skin color are designed in both KL color space and YCbCr space according to clustering. Skin regions are segmented using optimal threshold value obtained from adaptive algorithm. The segmentation results are then used to eliminate likely skin region in the gauss-likelihood image. Different morphological processes are then used to eliminate noise from binary image. In order to locate the face, the obtained regions are grouped out with simple detection algorithms. The proposed algorithm works well for complex background and many faces.

برای دانلود 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

A Robust & Fast Face Detection System

Human face detection is a significant problem of image processing and is usually a first step for face recognition and visual surveillance. This paper presents the details of face detection approach that is implemented to achieve accurate face detection in group color images which are based on facial feature and Support Vector Machine. In the first step, the proposed approach quickly separates ...

متن کامل

Statistical Background Models with Shadow Detection for Video Based Tracking

A common problem when using background models to segment moving objects from video sequences is that objects cast shadow usually significantly differ from the background and therefore get detected as foreground. This causes several problems when extracting and labeling objects, such as object shape distortion and several objects merging together. The purpose of this thesis is to explore various...

متن کامل

Comparative Performance Analysis of Secured LWT-SVD Based Color Image Watermarking Technique in YUV, YIQ and YCbCr Color Spaces

In this paper the perceptual quality and robustness in LWT domain and DWT domain is evaluated for the gray-scale image. The proposed technique is based on Lifting Wavelet Transform and Discrete Wavelet Transform (LWT-SVD) domain for embedding the gray-scale image to the color host image. Fibonacci-Lucas Transform is used to scramble the watermark image for security reason. YUV, YIQ and YCbCr co...

متن کامل

Color Face Recognition using Texture Features and Fractional Fourier Transforms

This paper proposes color local binary pattern and fractional Fourier Transform features for face recognition. The YCbCr Color space model is used in this approach. Fractional Fourier Transform features and local binary pattern features are used for face recognition. kNN classifier is applied to face recognition phase.

متن کامل

Face Detection and Recognition in Digital Images using Transform Domain Techniques

Face Recognition is a computer application that is drawing much attention in the computer society in the areas like network security, privacy, video conferencing and content indexing and retrieval. These systems should be able to correctly detect and recognize different faces from the images. Many face recognition algorithms have been proposed that help faces to be identified on systems. The ai...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013