Yozan Corporation

Ezel Inc.

Zi Quan Hong

Ryohei Kumagai

Tetsuo Ohsiro

A method of condensing color image data in an image processing system so as to simplify operations while reducing errors in the condensation. The method includes, by computer, generating electrical signals corresponding to color image data representative of a physical image; associating an electrical signal corresponding to a representative code with portions of the signals representative of data in the color image data corresponding to each of the pixels; grouping together electrical signals representative of pixels having identical representative codes to form at least one group; assigning to the representative code for each of the at least one group a condensed pixel representable by the representative code for that group; and setting an electrical signal portion corresponding to each pixel in that group equal to an electrical signal representative of a pixel corresponding to the condensed pixel.

Method for quantizing color image data by minimizing least squares error

A method of recognizing a character including the steps of reading sample characters and generating an image corresponding to the sample characters. Then calculating density projections of each sample characters. A primitive characteristic vector is then extracted from each density projection. Compression then occurs so that an optimal distinction vector and a corresponding characteristic space can be determined. A character to be recognized is then read and an image corresponding to said character to be recognized is generated. A density projection is then made from the image of the character to be recognized. A primitive characteristic vector is then made from the density projection of the character to be recognized. A secondary characteristic vector is then produced by projecting the primitive characteristic vector of the character to be recognized into the compressed characteristic space. Finally one of the sample characters is outputted, based upon the secondary characteristic vector, as the recognized character.

Apparatus and method for recognizing a character

A method for detecting the location of a human being in three dimensions from a spatial image of an area that is generated using a lens. Portions of the image having density values within a predetermined range are labeled, those density values corresponding to brightness levels of the pixels in the image. A labeled portion corresponding to a part of the head is selected when the top region of that portion forms the shape of an arch. The width of the selected portion is then determined. Assuming that the part of the head having hair on all persons has a constant horizontal width, the distance from a lens to a human being is calculated based on the determined width of the selected portion. The coordinates of the person are determined based on that distance.

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Tokyo, Japan

Zi Quan Hong