[PDF] Top 20 Study of Face Recognition Techniques

... designs of the parallel and perpendicular displacements can be illustrated with a simplified example of two parallel lines, and ...points of the ... See full document

... capable of recognizing the invariant aspects of a face thus creating a robust face representation even in the presence of an add-on ...novelty of the hat competes with the ... See full document

... understanding of the pro- cesses and choices behind the development of the practical section of this ...in-depth study of the services a mobile application provides, the main focus is ... See full document

... the recognition (Lades, ...instead of using the whole facial area to perform recognition task, using only the "significant facial ...center of the human ...ears. Study shows that ... See full document

... preprocessing of both the face image and finger vein pattern is to be ...extraction techniques available Local Binary Pattern is the most commonly used feature extraction technique in face ... See full document

... object recognition, which employed elastic graph matching to find the closest stored ...extension of the neural networks. Face are represented as graphs, with nodes positioned at fiducial points, ... See full document

... groups of pixels that share the same label due to their connectivity in a binary ...list of all the blobs in the image, along with global features: area, perimeter length, compactness and mass center about ... See full document

... kernel techniques to map face images into a larger space without any simplified linear face variety, what makes traditional linear methods ...methods of nonlinear projection, inherited the ... See full document

... versions of the back propagation algorithms developed by Rummelhart et ...limitations of gradient search techniques applied to complex nonlinear optimization problems have often resulted in ... See full document

... application of data mining and is used for the same ...to study the behaviour of their web ...growth of their ...interest of the ... See full document

... features of the underlying image in a local fashion in both frequency and space making it an ideal choice for sparse approximations of ...modeling techniques have appeared recently as an attractive ... See full document

... pattern recognition. It is one of the most successful techniques in face ...drawback of high computational especially for big size ...a study to optimize the time complexity ... See full document

... acknowledgement of Acute Pain diagnosis, through its defining characteristics, by nurses in a coronary intensive care unit, correlate their interventions to the nomenclature established for Classification ... See full document

... then study each component with resolution matched to its ...variety of channels representing the image feature by different frequency subbands at ... See full document

... for recognition of a person is based on (i) physiological characteristics such as fingerprint, face, iris, retinal blood vessel patterns, hand geometry, vascular pattern, and DNA, and (ii) behavioral ... See full document

... use of keys, security cards, password or pattern to open the door. Theaim of this paper is to help users forimprovement of the door security of sensitive locations by using face ... See full document

... high-dimensional face images possibly reside on a nonlinear manifold, many manifold learning methods such as Isometric Feature Mapping (ISOMAP) [16], Local Linear Embedding (LLE) [17], Laplacian Eigenmap (LE) [18] ... See full document

... For face detection here Bayesian Tangent Shape Model (BTSM) is ...distribution of model parameters can be derived. To replace the face, it requires outlines of the facial profile and ...For ... See full document

... several Face Recognition techniques have focal point on 2D- 2D comparison or 3D-3D comparison; but only some techniques survey the idea of cross-dimensional ...new face ... See full document

... We use a set of features which are the derivatives of the Haar Basis functions. Haar like functions can be computed at any scale or location in constant time. Rectangular features are primitive compared to ... See full document