Rotation Invariant Real - time Face Detection and Recognition System
نویسنده
چکیده
منابع مشابه
Invariant Local Features for Face Detection
In the domain of object recognition, the SIFT feature [1] is known to be a very successful local invariant feature. The performance of the recognition task using SIFT features is very robust and also can be done in real-time. This project present an approach that adopt the SIFT feature for the task of face detection. A feature database is created for the detection of generic face features and a...
متن کاملA Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition
The major challenge of face detection techniques lies in handling varying poses, i. e. , detection of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in Rotation the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed. However, several issues...
متن کاملNeural Network Performance Analysis for Real Time Hand Gesture Tracking Based on Hu Moment and Hybrid Features
This paper presents a comparison study between the multilayer perceptron (MLP) and radial basis function (RBF) neural networks with supervised learning and back propagation algorithm to track hand gestures. Both networks have two output classes which are hand and face. Skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...
متن کاملFace 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 کاملObject Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation
This paper proposes an object recognition and detection method by a combination of Support Vector Machine Classifier (SVM) and Rotation Invariant Phase Only Correlation (RIPOC). SVM is a learning technique that is well founded in statistical learning theory. RIPOC is a position and rotation invariant pattern matching technique. We combined these two techniques to develop an augmented reality sy...
متن کاملذخیره 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 2014