Kyushu Electric has developed a dual-armed mobilerobot for use in electronic distribution systems. A l though some h u m a n intervention is still required, the robot greatly reduces the demands o n the h u m a n operator. In order to automate some of the robot’s capabilities, we have developed a 3 0 object-localization method for robot’s positional adjustment. The method is designed t o be ins...

The Dimensional Metrology Group (DMG) at the National Institute of Standards and Technology (NIST) is performing research to support the development of documentary standards within ASTM E57 committee. This committee is addressing the point-to-point performance evaluation of a subclass of 3D imaging systems called Terrestrial Laser Scanners (TLSs) which are laser-based and use spherical coordina...

In last years laser scanning have increased its application in different fields: from geological to architectural and archaeological survey, from real time monitoring to rapid prototyping. Respect to architecture and archaeology, but more generally to Cultural Heritage, laser scanning technology is becoming more popular as can be proved in the latest works: big amount of data, accuracy, operabi...

A compact vertical scanner for an atomic force microscope (AFM) is developed. The vertical scanner is designed to have no interference with the optical microscope for viewing the cantilever. The theoretical stiffness and resonance of the scanner are derived and verified via finite element analysis. An optimal design process that maximizes the resonance frequency is performed. To evaluate the sc...

With the increasing use of desktop color scanners for digitizing color images it has become desirable to obtain device independent color information from these scanners. In order to achieve this goal the scanner spectral sensitivity needs to be estimated. This paper describes the application of signal processing techniques to the problem of estimating the scanner sensitivity. Results obtained b...

Numerous Optical Character Recognition (OCR) companies claim that their products have near-perfect recognition accuracy (close to 99.9%). In practice, however, these accuracy rates are rarely achieved. Most systems break down when the input document images are highly degraded, such as scanned images of carbon-copy documents, documents printed on low-quality paper, and documents that are n-th ge...