Detecting faces in images with different complex backgrounds and variation of the face in images is a complex job. In this paper, we present a neural network based upright frontal face detection system. In neural network based face detection approach, the neural network examines an incremental small window of an image to decide if there is a face contained in each window. To decrease the amount...

In this paper, we present an example-based approach for automatically generating a life-like portrait from a frontal face image. Based on an inhomogeneous Markov Random Field Model, an inhomogeneous non-parametric sampling scheme is used to capture the complex statistical characteristics of face image and corresponding portrait. In our approach, only those pixels corresponding to a portrait poi...

The fixed mean shape that is built from the statistical shape model produces an erroneous feature extraction result when ASM is applied to multipose faces. To remedy this problem the mean shape vector which is similar to an input face image is needed. In this paper, we propose the adaptive mean shape to extract facial features accurately for non frontal face. It indicates the mean shape vector ...

This paper is concerned with obtaining a stereo display of a panoramic sceneIt uses a iovel non_ frontal camera whose image plane is not perpen_ dicular to the optical axis as is strndarJ. ihis special imaging geometry eliminates the usual focusing need of image plane movement while pan_ uing the camera to view panoramic scenes. Cam_ era_ movement thus integrates panning, focusing and range est...

Face recognition is one of biometric methods, to identify given face image using main features of face. In this paper, a neural based algorithm is presented, to detect frontal views of faces. The dimensionality of face image is reduced by the Kernel based 2 dimensional symmetrical principal component analysis (K2DSPCA) and the recognition is done by the Back propagation Neural Network (BPNN). H...

One of the most successful techniques for frontal face authentication is based on matching image graphs that represent faces. The local identity information is stored at node graph locations through vectors of multi-scale and multi-orientation Gabor image responses. In this work we present an efficient way to process f¡ontal faces by automatically locating graph nodes at selected crease pointsT...

Face detection is one of the challenging problems in image processing. In this paper we have proposed a new technology named neural GUI based human recognition robotics. This system contains the skin color which is the main feature of faces for detection, and then the skin face candidate is examined by using the neural GUI, which learn from the feature of faces to classify whether the original ...

INTRODUCTION Cavernous hemangiomas are rare benign bone tumors and those at the level of the cranial bones are even rarer. CASE PRESENTATION A 50-year-old woman of Italian ethnicity presented with a frontal mass. A computed tomography scan showed an osteolytic lesion and a magnetic resonance imaging scan revealed a hypointense lesion on the T1-weighted image and a hyperintense lesion on the T...

A lateral vehicle localization method by omni-image analysis is proposed for car driving assistance. The method estimates analytically the position and orientation of a lateral vehicle by utilizing the geometric properties of a circular-shaped wheel image of the lateral car taken by a single omni-camera with a hyperboloidal-shaped mirror. Analytical solutions are made possible for fast computat...

AbstractBackgroundline of treatment for management of hydrocephalus despite available new techniques andsystems of shunting. Associated complications should be recognized and managed properly,but the most recognized complications are shunt obstruction which its prevalencethrough surgical approach is discussed here. Two approaches (frontal and parietal) are usedto insert ventriculoperitoneal shu...