automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

In a great number of situations (array processing, seismic sounding...), the signal received on an array of sensors is the sum of several contributions (sources). In general, it is realistic to assume that the sources emit independent stochastic signals. In this case, several methods using the second order statistic of the signal have been developed in order to detect the number of sources and ...

In this paper, an automatic image annotation and retrieval model is developed base on the intensity invariant approach. The given uncaptioned image is divided into background and foreground images and segmented into regions, which are classified into region types using a variety of features. Firstly, preprocessing stages such as gray-scale converting, noise filtering for image enhancing is proc...