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This paper proposes a novel method called local-gravity-face (LG-face) for illumination-invariant and heterogeneous face recognition (HFR). LG-face employs a concept called the local gravitational force angle (LGFA). The LGFA is the direction of the gravitational force that the center pixel exerts on the other pixels within a local neighborhood. A theoretical analysis shows that the LGFA is an illumination-invariant...
This paper proposes a novel FPGA based architecture to find the Vector Cosine Angle Distance between pair-wise color channels of RGB face image. The proposed work has an application in the field of skin color based searching in a real time system. The present system has been tested on 75 male and 25 female color facial images collected from standard FRAV2D database. The proposed architecture has been...
In this proposed work, a fully automatic 3D Face Recognition system across pose is presented, which works successfully on three modern databases namely the Frav3D, GavabDB and the Bosphorus databases. Poses handled in the system are yaw, pitch and roll varying from 0° to ±30° as well as expressions. The feature extraction is by depth face images with variation in depth values of the surface normals...
THere, authors have introduced an online face recognition system where the recognition task becomes easy to execute and validate using cross-recognition mechanism. ‘RaFaReS,’ the Range Face image Recognition System used to recognize the input 3D face images using 2.5D range images. The system is new of its kind in this area, where the new algorithm either feature extraction or classifier is easily...
Face identification and detection has become very popular, interesting and wide field of current research area. As there are several algorithms for face detection exist but none of the algorithms globally detect all sorts of human faces among the different colors and intensities in a given picture. In this paper, a novel method for face detection technique has been described. Here, the centers of...
In this paper we present a novel method of face identification using different levels of pixel fusion (e.g. ratios for pixel information taken from the visual and thermal images are, 2:3, 1:1, 3:2 and 7:3) and classification of fused images using different kernels of Support Vector Machine (SVM). Visual imagery has been broadly used in face identification systems, but these are very sensitive to illumination...
This paper outlines a Nose tip localization technique in case of 2.5D as well as 3D meshes. No normalization process is applied and the process correctly localizes nose tip across any pose (including rotation in any direction in 3D space namely about x-axis, y-axis and z-axis).The present technique works by taking a facial image as input, and after which a thresholding process is applied to remove...
In this paper feature level fusion scheme of visual and thermal images in wavelet domain is being analysed. Here, Daubechies wavelet transform, termed as db4, coefficients from visual and corresponding coefficients computed in the same manner from thermal images are combined to get fused coefficients. After decomposition up to fifth level (Level 5) fusion of coefficients is done. At the time of generating...
This paper describes an efficient approach for human face recognition based on blood perfusion data from infra-red face images. Blood perfusion data are characterized by the regional blood flow in human tissue and therefore do not depend entirely on surrounding temperature. These data bear a great potential for deriving discriminating facial thermogram for better classification and recognition of...
In this paper one investigation has been done to find the optimum level of fusion to find a fused image from visual as well as thermal images. Because of the use of face recognition system in critical areas like, authenticating an authorized person in highly secured areas, investigation of criminals, online monitoring etc, face recognition system should be very robust and accurate one. This work is...
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