Namco Bandai Games, Ltd.

Namco Limited

Bandai Namco Games Inc.

Kentaro Yamaguchi

Tadashi Sakakibara

Taketoshi Inagaki

Yasuo Ohba

Akio Onda

Yoshihito Saito

Hiroshi Yoshida

Tetsuji Baba

An image generation system includes an image information acquisition section that acquires image information from an image sensor, a grasp motion determination section that determines whether or not a player has made a grasp motion with one hand that is a right hand or a left hand based on the image information, a grasp-linked motion determination section that determines whether or not the player has made a grasp-linked motion that follows the grasp motion with the other hand based on the image information when the grasp motion determination section has determined that the player has made the grasp motion with the one hand, and an image generation section that generates an image based on the determination results of the grasp motion and the grasp-linked motion.

Image generation system, image generation method, and information storage medium

An image generation system includes an image information acquisition section that acquires image information from an image sensor. The image generation system further includes an information acquisition section that acquires position information about a player relative to a display section that displays an image or the image sensor based on the image information. The image generation system further includes a virtual camera control section that controls at least one of a distance between a character corresponding to the player and a virtual camera in a depth direction, a distance between the character and the virtual camera in a height direction, a distance between the character and the virtual camera in a transverse direction, and an angle of view of the virtual camera, based on the position information about the player acquired by the information acquisition section. The image generation system further includes an image generation section that generates an image viewed from the virtual camera in an object space.

An image generation system includes: a glare source drawing section which draws a glare source while referring to a Z value of an original image stored in a Z buffer to generate a first glare source image, and draws the glare source without referring to the Z value of the original image stored in the Z buffer to generate a second glare source image; a glare correction image generation section which performs image calculation processing including AND processing, of a first image which is an image obtained by subjecting the first glare source image to first blur processing and a second image which is one of an image obtained by subjecting the second glare source image to second blur processing and the second glare source image to generate a glare correction image; and a glare expression image generation section which generates a glare expression image based on the original image, the blurred image of the first glare source image, and the glare correction image.

Program, information storage medium, and image generation system

An original image area IMR is divided into divided image areas DRto DR, texture coordinates specified by division point coordinates are obtained, and images of the divided image areas DRto DRare mapped onto polygons PLto PL, based on the obtained texture coordinates. The original image area IMR is divided in such a manner that division spacing in a direction DIRtowards a vanishing point VPfrom the original image becomes narrower as the divided image areas are closer to the vanishing point VPand texture coordinates are obtained, to implement correction processing for removing perspective of the original image. Correction processing is performed to remove perspective of images at a base surface of images ILand IRfor the left eye and the right eye, the images ILand IRfor the left eye and the right eye are generated, and a stereoscopic image is generated by synthesizing (by anaglyph processing) ILand IR

Image processing system, program, information storage medium, and image processing method

An &#x3b1;-value &#x3b1;Pcorresponding to a Z-value of each pixel in an original image and an &#x3b1;-nonuniformity setting &#x3b1;-value a UP which is a nonuniform &#x3b1;-value in a virtual plane are synthesized into an &#x3b1;-value &#x3b1;P. The color ICP of the original image and the fog color CP are synthesized into a fog image, based on the &#x3b1;-value &#x3b1;P2. A plurality of &#x3b1;-nonuniformity setting &#x3b1;-values provided for the virtual planes different in nonuniformity pattern are synthesized. The nonuniformity patterns are changed depending on the virtual camera information and time information. An &#x3b1;-value used to synthesize the &#x3b1;-nonuniformity setting &#x3b1;-values is set based on a Z-value of each pixel in the original image. A Z-value of each pixel in the original image is used as an index number of a lookup table and the index color texture mapping is applied to a virtual object to convert the Z-value into an &#x3b1;-value.

Image generation system, program, information storage medium and image generation method

The objective of this invention is to provide a method of transforming the shape of a skeleton model, wherein this method can easily handle a skeleton model of a multiple-branching structure and enables the easy setting of complicated restrictive conditions. Node coordinates and arc-normal vectors are used as basic variables. Basic equations, which comprise an equation defining the length of an arc and which use basic variables as unknowns, and an evaluation expression for uniquely specifying a solution that satisfies these basic equations are modified, based on data such as mouse input. A solution for the basic variables that satisfies the basic equations and minimizes the value of the evaluation expression is obtained, and the shape of the skeleton model is transformed accordingly. The evaluation expression is used to set minimization of the sum-of-squares of arc-to-arc angles, rubber-banding, dampers, and inertia. The basic equations and the evaluation expression are updated in synchronization with the end of a loop. A spring restriction can be set, and the use of a restrictive condition in the next loop of the calculations can be determined from whether or not the restrictive condition was used in the previous loop, and whether or not an object has passed a boundary.

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Yokohama, Japan

Kentaro Yamaguchi