The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 27, 2002
Filed:
Jul. 06, 1999
Mikio Nagasawa, Kodaira, JP;
Hitachi, Ltd., Tokyo, JP;
Abstract
In order to visually display a spatial distribution of a multi-value function represented by nine components of a two-order, three-dimensional tensor, a distribution function of an anisotropic fine face distribution is set to have a form of a second-order curved surface of an anisotropic ellipsoid associated with discrete sampling points, the intensity of the scattering light is calculated from a contribution of a bisector-direction vector between a light-source-directed vector and a line of sight vector (in a reflection light intensity calculating part to simulate the light scattering. With respect to each calculation point having a tensor, the intensity of the scattering light is integrated according to a rendering light beam equation with a light transmittance weighted (in a light beam integration part). As a result, since the correlation between the light integration effect and the angle dependency based on a scattering distribution function associated with the tensor components is displayed, multi-value information in a space can be visually recognized while eliminating the need for pattern recognition or the like. Not a geometrical object but a cloud-like three-dimensional distribution image is obtained as a display image and special anisotropically scattered part are displayed in the image. Therefore, the image is natural as a visual-feeling characteristic, and thus an observer can efficiently recognize it with less fatigue.