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This paper presents a novel person to camera distance measuring system based on eye-distance. The distance between centers of two eyes is used for measuring the person to camera distance. The variation in eye-distance (in pixels) with the changes in camera to person distance (in inches) is used to formulate the distance measuring system. The system starts with computing the distance between two eyes...
This paper presents a multi-resolution masks based pattern matching method for person identification. The system is commenced with the construction of multi-resolution mask cluster pyramid, where the mask size is chosen depending on the distance between two eyes, computed from the detected face. Experimental results show the effectiveness of the system with significantly higher precision, recall rates...
A vision system has been developed for human-robot symbiosis. The two novel contributions of this paper are 1) Detection of human faces and 2) Localizing the eye. The method is based on visual attributes of human skin colors and geometrical analysis of face skeleton. This paper introduces a spatial domain filtering method named dasiafuzzily skewed filterpsila which incorporates fuzzy rules for deciding...
Image morphing has been the subject of much attention in recent years. It has proven to be a powerful tool for visual effects in film and television, depicting the fluid transformation of one digital image into another. This paper presents a new approach of image morphing based on pixel transformation that depicts the transformation of pixels with their neighborhoods. The method is organized with...
This paper presents a vision based gesture recognition system for human-robot symbiosis. The system is based on the visual information of the face and is commenced with the recognition of face gesture by connected component analysis of the skin color segmentation of images in HSV color model and neural network based pattern-matching strategies. On gesture recognition, robot is being instructed to...
Image enhancement is a technique to improve the quality of an image. The aim of image enhancement technique is to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. This paper presents a new approach for image enhancement with fuzzy rule-based filtering. Compared to other non-linear techniques,...
This paper introduces a new concept for the establishment of human-machine symbiotic relationship through interactive image recognition. The system is based on the implementation of knowledge-based image processing methodologies for intelligent recognition of image and intelligent responding for an autonomous robot or machine. This paper includes two novel contributions of image application; one is...
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