Nose Tip Detection Using Shape index and Energy Effective for 3 d Face Recognition
نویسندگان
چکیده
Nose tip detection is an essential point in 3d face alignment, pose estimation and the discrimination process. A method to determine nose tip location based on exploiting local descriptors(shape index) from each point cloud on the 3d surface mesh is presented in this paper. Furthermore, theeffective energy constraint was appliedover each 3d mesh data point. Then NN-Nearest Neighbour classification methodwas applied in order to locate the nose tip and nose region based 3d feature extraction techniques.The detection method is also characterized by the refining of candidate points for nose tip regions and is robust against pose and expression variations.All computations were based on the pure 3D mesh data points of a face without texture information. The proposed method was tested using a 3d face image sample database FRAV3d, and GAVADB database. The experimental results show 96% and 76% correct nose tip detection for FRAV3d and GAVADB databases respectively.
منابع مشابه
Nose Tip Detection Using Gradient Weighting Filter Smoothing
1 Student, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. 2 Associate Professor, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. ___________________________________________________________________________ Abstract:In the area of face recognition systems, features especially nose tip has less significant attention for smoothing. Th...
متن کاملA novel approach for nose-tip detection on 3D face images across pose
AbstractThis paper investigates a novel technique for extraction of the nose-tip from three-dimensional face image in any pose, which is needed for nose-tip based face registration. The present technique uses weighted median filter for smoothing. No normalization process is applied and the system correctly detects nose-tips across any pose variations. In our system, at first the range images ar...
متن کاملFace Detection and Facial Feature Extraction Using Color, Shape and Symmetry-Based Cost Functions - Pattern Recognition, 1996., Proceedings of the 13th International Conference on
This paper describes an algorithm for detecting human faces and subsequently localizing the eyes, nose, and mouth. First, we locate the face based on color and shape information. To this effect, a supervised pixel-based color classiJier is used to mark all pixels which are within a prespecijied distance of “skin color“ This color-classiJication map is then subject to smoothing employing either ...
متن کاملA training-free nose tip detection method from face range images
Nose tip detection in range images is a specific facial feature detection problem that is highly important for 3D face recognition. In this paper, we propose a nose tip detection method that has the following three characteristics. First, it does not require training and does not rely on any particular model. Second, it can deal with both frontal and non-frontal poses. Finally, it is quite fast...
متن کاملExemplar based approaches on Face Fiducial Detection and Frontalization
Computer vision solutions such as face detection and recognition, facial reenactment, facial expression analysis and gender detection have seen fruitful applications in various domains such as security, surveillance, social media and animation. Many of the above solutions have common pre-processing steps such as fiducial detection, appearance modeling, face structural modelings etc. These steps...
متن کامل