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In this paper, we present a novel approach to estimate the 3D head pose from a monocular camera images for the control of mouse pointer movements on the screen and clicking events. This work is motivated by the goal of providing a non-contact instrument to control the mouse pointer on the PC screen for helping handicapped people with severe disabilities using low-cost and widely available hardware...
In this paper, we present a novel approach to 3D head pose estimation from monocular camera images for the control of mouse pointer movements on the screen and clicking events. This work is motivated by the goal of providing a non-contact instrument to control the mouse pointer on a PC system for handicapped people with severe disabilities using low-cost and widely available hardware. The required...
Spectro-temporal representation of speech is considered as one of the leading speech representation approaches in speech recognition systems in recent years. This representation is suffered from high dimensionality of the features space which makes this domain unusable in practical speech recognition systems. In this paper, a new method of feature selection is proposed in the spectro-temporal domain...
The efficiency of a human face recognition system depends on the capability of face recognition in presence of different changes in the appearance of face. One of the main difficulties regarding the face recognition systems is to recognize face in different views and poses. In this paper we propose a new algorithm which utilizes the combination of texture and depth information to overcome the problem...
The recognition of handwritten characters and digits is an important and challenging issue in OCR algorithms. This article presents a new method in which cluster based weighted support vector machine is used for the classification and recognition of Farsi handwritten digits that is reasonably robust against rotation and scaling. In the proposed algorithm, after applying the necessary preprocessing...
This paper presents a vision based scheme for detecting flying vehicle using a new feature extraction and correspondence algorithm as well as a motion flow vectors classifier. The base of detection is to classify the motion flow vectors of object and scene at two video sequences from a mobile monocular CCD camera. For this purpose, we introduce a method to extract robust features from fuzzified edges...
With the emerging of the new applications like virtual reality in image processing and machine vision, it is necessary to have more perfect interfaces than mouse and keyboard for human computer interaction. To cope with this problem, variety of tools has been presented to interact with computers. Hand gesture recognition is one of the proper methods for this purpose. This paper presents a new algorithm...
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