Abstract: The present method represents a three-dimensional shape model by polygons according to a plurality of object images information picked up by rotating a real object for every arbitrary angle to assign texture information on each polygon from object image information having the largest projection area of the relevant polygon. In order to improve the color continuity between adjacent polygons, the object image information having correspondence between a polygon of interest and an adjacent polygon thereof is selected so as to be the object image information approximating the shooting position and the shooting direction. An alternative method divides an object image into a plurality of regions, obtains difference between an object image and a background image in region level, outputs a mean value of the absolute value of difference in the region level, and detects the region having the mean value of absolute values of difference equal to or greater than a threshold value as the object portion.

Abstract: For an apparatus effectively providing a real three-dimensional model to a customer, three-dimensional shape data of a target is obtained at a data input section (10). The data is managed by a server which is connected to a network. A suitable formation section (14) is selected to form a real three-dimensional model based on the data. In addition, the formation completion is automatically notified to the customer via a completion display panel (260), a cellular phone (61), or the like.

Abstract: A motion image processing method and device for authenticating a user using a specific device, using motion information of an object. Time series monochrome images, obtained by photographing an object, using a camera, are input. An object is detected from an initial frame of the input time series images, using a basic shape characteristic, and a plurality of reference points to be tracked are automatically determined in the object. Then, corresponding points of the respective reference points are detected in an image frame other than the initial frame among the input time series images. Subsequently, motion information of a finger is calculated, based on the result of tracking the respective reference points and an assumption of limited motion in a 3D plane. Based on the calculated motion parameter, a solid object is subjected to coordinate conversion, and displayed if necessary. As a result of the tracking, a reference point in each frame is updated.

Abstract: A three-dimensional model providing apparatus in which a customer can easily modify the input three-dimensional data. The apparatus comprises an input section (10) for inputting three-dimensional data, a server section (12) for managing the processes on the three-dimensional data from input to output, a providing section (14) for providing three-dimensional data, a communicating section for communicating the three-dimensional data between the input section, server section, and providing section, a receiving section (11) for receiving instruction contents from the customer, and a converting section (13) for modifying, processing, or converting the three-dimensional data according to the instruction contents.

Abstract: A method and apparatus for representing a three-dimensional shape model by polygons according to a plurality of object images information obtained by rotating a real object arbitrary angles to assign texture information on each polygon. The texture information is assigned according to the amount of texture information for a particular polygon. Various criteria are disclosed as factors in determining the amount of texture information.

Abstract: A light transmission type image recognition device comprises a first transparent substrate having a plurality of transparent pixel electrodes formed in a two-dimensional array on its surface, a second transparent substrate having a transparent faced electrode formed on its surface, and a visual pigment similar protein oriented film layer and a transparent insulating layer which are arranged between both the electrodes.

Abstract: A method is proposed for automatically obtaining depth. information from a 2-D motion image, so as to create an image for a 3-D display. Further, methods are proposed for selecting appropriate frames for the calculation of the depth information, or discontinuing the calculation, and for conducting image., processing using the depth information. Examples of various types of image processing can be listed as including the creation of a viewfinder image seen from a different point, natural scaling operations to an image area, and separation of a desired image area. First, a motion information of an object on a screen is extracted by block matching or the like. Second, the actual movement of the object in the 3-D world is calculated.

Abstract: A reference sheet is employed on which reference points are arranged irregularly and asymmetrically. An object of interest is placed on the reference sheet. The object of interest is shot together with the reference points by a camera. A shooting position of the camera is calculated according to the Hough transform method on the basis of the position of a reference point in the obtained object image. A three-dimensional model is generated according to the obtained object image and shooting position. Therefore, a simple and economic three-dimensional modeling apparatus that does not require a turntable can be provided.

Abstract: The present method represents a three-dimensional shape model by polygons according to a plurality of object images information picked up by rotating a real object for every arbitrary angle to assign texture information on each polygon from object image information having the largest projection area of the relevant polygon. In order to improve the color continuity between adjacent polygons, the object image information having correspondence between a polygon of interest and an adjacent polygon thereof is selected so as to be the object image information approximating the shooting position and the shooting direction. An alternative method divides an object image into a plurality of regions, obtains difference between an object image and a background image in region level, outputs a mean value of the absolute value of difference in the region level, and detects the region having the mean value of absolute values of difference equal to or greater than a threshold value as the object portion.

Abstract: A method is proposed for automatically obtaining depth information from a 2-D motion image, so as to create an image for a 3-D display. Further, methods are proposed for selecting appropriate frames for the calculation of the depth information, or discontinuing the calculation, and for conducting image processing using the depth information. Examples of various types of image processing can be listed as including the creation of a viewfinder image seen from a different point, natural scaling operations to an image area, and separation of a desired image area. First, a motion information of an object on a screen is extracted by block matching or the like. Second, the actual movement of the object in the 3-D world is calculated.

Abstract: The present method represents a three-dimensional shape model by polygons according to a plurality of object images information picked up by rotating a real object for every arbitrary angle to assign texture information on each polygon from object image information having the largest projection area of the relevant polygon. In order to improve the color continuity between adjacent polygons, the object image information having correspondence between a polygon of interest and an adjacent polygon thereof is selected so as to be the object image information approximating the shooting position and the shooting direction. An alternative method divides an object image into a plurality of regions, obtains difference between an object image and a background image in region level, outputs a mean value of the absolute value of difference in the region level, and detects the region having the mean value of absolute values of difference equal to or greater than a threshold value as the object portion.

Abstract: An image processing method for matching edges detected in images of the same objects in a three-dimensional scene which are taken simultaneously by two or more image pick-up devices at different positions, in which the boundary segments on the edges are classified into apparently real segments, apparently imaginary segments or undefined segments, a planar surface is found for each boundary which has all apparently real segments and no apparently imaginary segment on it by using the information of the points of occlusion, the surface is regarded as the real surface in the case where there is only one surface which has no segment under it, so that surface information and the distance information at arbitrary points on the real surface are obtained.