Face Detection with In - Plane Rotation :
نویسنده
چکیده
This paper presents a method for extending upright, frontal, template-based face detection systems to eeciently handle all in-plane rotations. Detecting rotated faces is a two step procedure. First a \De-Rotation" network is used to process each input window. If there is a face in the window, this network determines its angle of rotation. Based upon this estimated angle of rotation, the window is then rotated to an upright position. Second, a \Detection" network, or multiple detection networks, are used to determine whether the rotated window contained an upright face. The training methods for both networks are presented. Preliminary empirical results are also provided.
منابع مشابه
A 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 کاملA hierarchical learning network for face detection with in-plane rotation
This paper presents a scale and rotation invariant face detection system. The system employs a hierarchical neural network, called SICoNNet, whose processing elements are governed by the nonlinear mechanism of shunting inhibition. The neural network is used as a face/nonface classifier that can handle in-plane rotated patterns. To train the network as a rotation invariant face classifier, an en...
متن کاملFuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face
As face recognition technology has developed, it has become widely used in various applications such as door access control, intelligent surveillance, and mobile phone security. One of its applications is its adoption in TV environments to supply viewers with intelligent services and high convenience. In a TV environment, the in-plane rotation of a viewer’s face frequently occurs because he or ...
متن کاملReal-time rotation invariant face detection based on cost-sensitive AdaBoost
This paper presents a novel method of detecting faces at any degree of rotation in the image plane based on CostSensitive AdaBoost (CS-AdaBoost) algorithm. The method first employs a cascade of very simple classifiers trained by CS-AdaBoost to determine the possible orientation of each input window and then uses an upright face detector also trained by CS-AdaBoost to verify the derotated face c...
متن کاملRobust Facial Features Localization on Rotation Arbitrary Multi-View face in Complex Background
Focused on facial features localization on multi-view face arbitrarily rotated in plane, a novel detection algorithm based improved SVM is proposed. First, the face is located by the rotation invariant multi-view (RIMV) face detector and its pose in plane is corrected by rotation. After the searching ranges of the facial features are determined, the crossing detection method which uses the brow...
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 1997