Image compression: Ready for prime time?

This paper describes the design, construction, and measured performance of an experimental scanning laser rangefinder. The instrument uses active triangulation and employs an optical bandpass filter to minimize the effects of ambient illumination. Its use of a single photodetecting element, a photomultiplier, is a unique feature among scanning triangulation rangefinders. A novel scanning configuration based on spherical coordinates is employed, resulting in an extremely large field of view. Nearly 75% of the surrounding solid angle is accessible. Reasonably high speed and accuracy are obtained. The typical error in range at a range of 50 in. is.12 in. The typical error in either of the two angular coordinates is.03°. The maximum instantaneous rate of acquisition of range samples is 500 Hz. Much higher speed and accuracy appear achievable with various modifications and improvements. This type of rangefinder appears most useful in automatic surveillance and robot navigation applications, because of its large field of view. 1.

• The goal of Machine Vision is to create a model of the real world from images – A machine vision system recovers useful information about a scene from its two

representing the official policies. either expressed or implied. of the United States Government. Roughness and Reflection in Machine Vision

This paper is the an overview of the actual use and importance of machine vision in robotics generally. Robotics poses important place in today industry, space exploration, services, medicine, etc. Presenting relevant attainable information of machine vision in use, we will show in this overview a

Inspection of components using machine vision technologies provides solution for quality and process control. Various applications of Machine vision technologies are automotive, Pharmaceutical, food and beverage, electronics, packages, process control and special application. In this paper

Machine vision in its common definition is a possibility of a machine (by sensing means and computer mathematic processing consecutively) to obtain an information about surrounding environment for further analytical treatment. According to this common definition we can unite in a general

The continuing development of machine vision is initiating a change from human to machine vision for inspection purposes. This paper concentrates on a general analysis graph within a systematic automated visual inspection concept that speeds up the development of such systems by increasing

. Behavioral methods include signature, voice, and keystroke biometrics, all of which vary over time and are dependent upon environmental factors. Machine vision research has concentrated on physiological, e.g. face, hand, eye and fingerprint biometrics. Section one introduces the field of automated

Current applications of machine vision in agriculture are briefly reviewed. The requirements and recent developments of hardware and software for machine vision systems are discussed, with emphases on multispectral and hyperspectral imaging for modern food inspection. Examples of applications