Paper deals with using machine vision to control pointing device. It focuses on creating control software for movement and positioning with pointing device based on machine vision. Using the account information on the identification and location of the object positioning obtained using machine vision techniques.

The work presented in this paper is part of a system developed for fruit sorting. The machine vision unit is part of a distributed control system in which several machine vision modules can be integrated with a control module and a user interface unit. The machine vision unit is an embedded module based on a Pentium-III processor with an image acquisition card, with no user interface. Each mach...

Machine vision is widely used in an industrial environment today. It can perform various tasks, such as inspecting and controlling production processes, that may require humanlike intelligence. The importance of imaging technology for biological research or medical diagnosis is greater than ever. For example, fluorescent reporter imaging enables scientists to study the dynamics of gene networks...

No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser ...

Gesture recognition allows the computer to understand human’s body language, and therefore can be useful in many applications for natural human computer interaction. The use of gestures for interaction is especially useful in a virtual reality environment. Recent development in display technologies, like large-scale displays and table-top displays, also opens the realm for developing new gestur...

Suppose we have a probability density function for some continuous random variable: e.g. a Gaussian or Normal distribution. p(x) = 1 √ 2πσ 2 exp − (x − µ) 2 2σ 2 (1) Usually when we use this function to calculate the probability of getting the value x in the range x to x to x+δ x, we assume that the parameters σ and µ are known or given. To emphasize this point of view, the probability density ...

Computer vision provides a powerful tool for the interaction between man and machine. The barrier between physical objects (paper, pencils, calculators) and their electronic counterparts limits both the integration of computing into human tasks, and the population willing to adapt to the required input devices. Computer vision, coupled with video projection using low cost devices, makes it poss...

How does an animal see? How might a computer do it? A study of stereo vision guides research on both these questions. Brain science suggests computer programs; the computer suggests what to look for in the brain. T he development of computers of increasing power and sophistication often stimulates comparisons between them and the human brain, and these comparisons are becoming more earnest as c...

Accurate registration of surfaces is a common problem in computer vision. Several algorithms exist to reene an approximate value for the pose to an accurate value. They are all more or less variants of the Iterated Closest Point algorithm of Besl and McKay (1992). Up to now the problem of determining the uncertainty in the pose estimate thus obtained has not been addressed in detail. In this pa...