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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...
In this paper, a new technique, i.e. decremental depth bunches have been presented where two facial discriminating mechanisms have also been implemented for recognizing the individuals. Notably, based on variations of the depth values, different bunches of face regions (i.e. the small components) are extracted by differentiating the depth information that eventually describes detailed facial surface...
Face and facial attributes represent meaningful definition about a variety of information to discriminate an individual from others and for developing a computational model for automatic face recognition purpose. However, in this work, selection of relevant features from newly created face space is the pivotal contribution of the authors. Here, authors have demonstrated a new face space ‘Complement...
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...
Since the past several years, face recognition from video has received significant attention due to wide range of commercial and law enforcement applications, such as surveillance systems, closed circuit TV (CCTV) monitoring, etc. Human face detection is the first and important task in a dynamic environment, such as video, where noise conditions, illuminations, locations of subjects and pose can vary...
In this paper, a novel Automatic Cartoon Movie Builder (ACMB) system has been proposed to generate a cartoon movie based on a given story collected from the user and this concept is new in the literature. It has useful applications in cinematography and especially in the world of animation. The system has two types of databases: (a) Movie Database (DB-M) consisting of cartoon movies (animations) collected...
In the present work, a holistic word recognition technique is proposed for the recognition of the handwritten Bangla words. Holistic word recognition technique assumes a word as a single and indivisible entity and extracts features from the entire word to recognize it. In this work, a set of elliptical features is extracted from handwritten word images to represent them in the feature space. Then,...
Image level fusion combines an image in different ways with its original version so that the combine image may contain more relevant information than the original one. This paper presents a novel method for face recognition by fusing original and corresponding diagonal images. Two ways of image fusion technique have been performed here. Firstly, we generate diagonal face image from original face image...
Recognition of handwritten Bangla numerals has always been an open problem for researchers. Selection of appropriate preprocessing and feature extraction techniques to achieve maximum recognition accuracy is a challenging problem. In this paper, a new Quad Tree based feature set is introduced for the recognition of handwritten Bangla numeral dataset developed here. On experimentation with the database...
Protein-Protein Interaction (PPI) is of biological interest since it is involved in a number of cellular processes such as metabolic pathways, immunological recognition. The knowledge of PPI is important for the investigation of intracellular signaling pathways, modeling of protein complex structures and for gaining overview of various biochemical processes. PPI prediction identifies and catalogs...
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