First impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as well as ambient information affect these impressions. In this work, we propose an approach to predict the first impressions people will have for a given video depicting a face w...

This paper presents a system for assisting nutrition management for solitary elderly persons. Since dealing with diseases is one of the important issues for solitary elderly, their health control in daily life has been in focus in recent years. As preprocessing to develop a nutrition management system for solitary elderly, systems for discriminating the category of a food image have been propos...

As a special class of images, texture can represent the surface characteristics of one object, e.g. terrain, vegetation, mineral and fur, etc. This paper combines perceptual texture features and wavelet features for texture image classification. Three new texture features which are proved to be in accordance with human visual perception are introduced. These features include directionality, con...

The trade-oo between high-level, long-range features and low level, local features is common among many pattern recognition problems: the former are usually more powerful but less robust, while the latter is less informative but more reliable. In this paper we describe a new method for combining high-level long-range features and local features for on-line handwriting recognition. First, high-l...

Traditional trademark image retrieval algorithm only using global feature easily makes mistaken retrieval, and scale invariant feature transform (SIFT) features have limited descriptive ability for image contour and high algorithm complexity. This paper proposes a trademark retrieval algorithm combining the image global features and local features. In this paper, we will firstly, extract Zernik...

Automatic segmentation of liver in medical images is challenging on the aspects of accuracy, automation and robustness. A crucial stage of the liver segmentation is the selection of the image features for the segmentation. This paper presents an accurate liver segmentation algorithm. The approach starts with a texture analysis which results in an optimal set of texture features including high o...

This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The...

Facial expression is one form of communication which being non-verbal in nature precedes verbal both origin and conception. Most the existing methods for Automatic Expression Recognition (AFER) are mainly focused on global feature extraction assuming that all facial regions contribute equal amount discriminative information to predict class. The detection localization have significant contribut...