In this paper, we present a new method for face recognition using range data. The proposed method is based on both global statistics of geometrical features and local statistics of correlative features of facial surfaces. Firstly, we analyze the performances of common geometrical representations by using global histograms for matching. Secondly, we propose a new method to encode the relationshi...

Face recognition, means checking for the presence of a face from a database that contains many faces and could be performed using the different features. The face images considered for recognition undergo large variations due to changes in the illumination conditions, viewing direction, facial expression and aging. The face images have similar geometrical features. Hence, it is a challenging ta...

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

Optical Character Recognition deals in recognition and classification of characters from an image. For the recognition to be accurate, certain topological and geometrical properties are calculated, based on which a character is classified and recognized. Also, the Human psychology perceives characters by its overall shape and features such as strokes, curves, protrusions, enclosures etc. These ...

The bag-of-words approach with local spatio-temporal features have become a popular video representation for action recognition in videos. Together these techniques have demonstrated high recognition results for a number of action classes. Recent approaches have typically focused on capturing global statistics of features. However, existing methods ignore relations between features and thus may...

This paper discusses model construction for object recognition using ISAR images. A leaming-from-examples approach is used to construct recognition models of the objects from their ISAR data. Given a set of ISAR data of an object of interest, structural features are extracted from the images. Statistical analysis and geometrical reasoning are then used to analyze the features to find spatial an...