Real-Time Facial Feature Detection By Statistical Template Matching
نویسندگان
چکیده
This paper addresses a problem of robust, accurate and fast object detection in complex environments, such as cluttered backgrounds and low-quality images. A new method called Statistical Template Matching is proposed to detect objects, represented by a set of template regions. A similarity measure between the image and a template is derived from the Fisher criterion. We show how to apply our method to face and facial feature detection tasks, and demonstrate its performance in some difficult cases, such as moderate variation of scale factor of the object, local image warping and distortions caused by image compression. Key-Words: Statistical template matching, Topological template, Object detection, Facial feature detection.
منابع مشابه
Eye Detection in Facial Image by Genetic Algorithm Driven Deformable Template Matching
As face recognition and facial feature based human computer interaction have become the subjects of intense focus in recent decades, facial feature extraction has emerged as a challenging task in the field of computer vision. Eye is said to be the most salient feature on face because of its versatility of appearance and expression variety. Various eye detection schemes are proposed in the liter...
متن کاملEvaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملDetection and Tracking of Facial Features in Video Sequences
This work presents a real time system for detection and tracking of facial features in video sequences. Such system may be used in visual communication applications, such as teleconferencing, virtual reality, intelligent interfaces, humanmachine interaction, surveillance, etc. We have used a statistical skin-color model to segment face-candidate regions in the image. The presence or absence of ...
متن کاملFace Detection and Recognition
Two of the most important aspects in the general research framework of face recognition by computer are addressed here: face and facial feature detection, and face recognition -or rather face comparison. The best reported results of the mug-shot face recognition problem are obtained with elastic matching using jets. In this approach, the overall face detection, facial feature localization, and ...
متن کاملReal-Time Facial Feature Detection for Person Identification System
In this paper, we present an approach to realtime facial feature detection. Facial regions are segmented using Gabor filter responses with M-style grid matching. M-style grid matching method has been shown more effective than Gabor bunch graph matching method in many aspects such as frontal face detection against expression, in-planeldepth rotation, and various illumination environments. In add...
متن کامل