[PDF] Top 20 Psychologically inspired dimensionality reduction for 2D and 3D Face Recognition

... for recognition (assuming that variance within the class or subject is ...in recognition depends on whether or not the variance is above a pre-determined ... See full document

... utomatic recognition of human faces from 2D intensity images has been studied extensively in the computer vision ...robust face recognition is still a distant ...of 2D face ... See full document

... Face recognition is one of the biometric methods, to identify given face using main feature of ...The 3D face recognition approach handles the challenges of 2D face ... See full document

... a face against the template face images whose identity is to be ...claimed. Face identification is 1:N problem that compares a query face image against all image templates in face ... See full document

... accurate face recognition ...using 2D gray images, the proposed method uses 3D range information instead to create the LDA ...each face in the database, each horizontal face ... See full document

... in 3D face recognition has witnessed an explosive growth over the last few ...use 3D data to rule out variations of illumination and pose, and therefore enhance face recognition ... See full document

... tested recognition rates after discarding 90% of the ...in recognition performance but it is not proportional to the amount of data that has been discarded ...the 2D data, a 61% ...the 3D ... See full document

... the dimensionality of a data set for simplified analysis. In face recognition, this technique is used to determine the level of similarity between ...of 2D gallery images are decomposed into ... See full document

... different face databases frequently used for face recognition and object ...simple face database developed at AT & T lab contains 40 subjects each with 10 ...facial recognition ... See full document

... the face images may only be taken care of by using the 2D image matrices, processing of image vectors is ...context, 2D-PCA [25], symmetrical 2D-PCA [26], 2D-LDA [27], and 2D-CCA ... See full document

... the 3D deformation model (3DMM) synthesis technique and then use this model for 3D face recognition ...the 3D scanning technology at the time, their 3D deformation model was ... See full document

... Texas 3D face database was created by the company Advanced Digital Imaging Research (ADIR), LLC (Friendswood, TX)[3] and it was collected at a high spatial resolution of ...two 2D and 3D ... See full document

... automated face recognition, then it represents a direct way to reduce the dimensionality of the face so potentially increasing computational efficiency and reducing hardware ...in face ... See full document

... been inspired by the use of a complex PCA of image gradient orientations for performing 2D face recognition robust to occlusions and illuminations ...then inspired a complex circular ... See full document

... - lization a combination of the integro-differential operators with a Hough Transform is used while the concept of in- stantaneous phase or emergent frequency is used for feature extraction [11]. Iris code is generated ... See full document

... existing recognition processes rely on descriptors or geometric shapes which can be reliable; this comes at the expense of an increased computational ...method recognition technique consisting of (i) a ... See full document

... The proposed system is implemented using an IDL program where it is evaluated for recognizing the image. The performance of the algorithm is evaluated on several real images. These pictures are the most widely used ... See full document

... In the studies using 3-D facial data, only a few consider facial occlusion detection, removal, restoration and missing data handling. In [11], author has proposed a method to detect occlusions by analyzing the difference ... See full document

... Nguyen & Ranganath (2010) detect nonmanual grammatical signals in continuous signing through the use of a 2-layer CRF model. However, this method requires manual initialization of the face tracker, thus is not ... See full document

... Haar like features are digital image feature used for object detection but here we used it for face detection. The biggest advantage of it over most other features is its calculation speed. Fig. 1 shows the types ... See full document