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Hirokazu Kameyama

Hirokazu Kameyama, Ashigarakama-Gun JP

Patent application numberDescriptionPublished
20110052045IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - A system is provided to compress an image of a subject captured in a plurality of directions, at high compression, and the image processing apparatus includes: a model storage section that stores a reference model that is a three-dimensional model representing an object; a model generating section that generates, based on a plurality of captured images of an object, an object model that is a three-dimensional model that matches the object captured in the plurality of captured images; and an output section that outputs a position and a direction of the object captured in each of the plurality of captured images, in association with difference information between the reference model and the object model.03-03-2011

Hirokazu Kameyama, Kanagawa JP

Patent application numberDescriptionPublished
20100178639TRAINING ASSISTING APPARATUS, TRAINING ASSISTING METHOD, AND TRAINING ASSISTING PROGRAM - An examinee is subjected to an image or a sound suitable for the examinee's overcoming his worries in accordance with change in a physical state of the examinee. The training assisting apparatus according to the present invention is at training assisting apparatus for assisting an examinee in overcoming the examinee's worries by displaying a training image, including: a display section that displays the training image; a display ratio storage section that stores a change quantity of a display ratio of the training image displayed on the display section, in association with a physical state of the examinee; a physical state acquiring section that acquires the physical state of the examinee looking at the training image displayed on the display section; a display ratio extraction section that extracts the change quantity of the display ratio of the training image stored in the display ratio storage section in association with the physical state of the examinee acquired by the physical state acquiring section; and a display control section that changes the display ratio of the training image displayed on the display section, in accordance with the display ratio of the training image extracted by the display ratio extraction section.07-15-2010
20100265354IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - Provided is an image processing apparatus including a parameter storage that stores, in association with a plurality of attributes, a plurality of image processing parameters for respectively rendering subject images of different attributes from each other, into high image quality; and an image generating section that generates a high quality image of a subject image included in an input image, using the plurality of image processing parameters stored in the parameter storage. The image generating section may select at least one image from high quality images of the subject image included in the input image using respectively different combinations of the plurality of image processing parameters, based on comparison with the input image, and generate the selected image as the high quality image.10-21-2010
20110019741IMAGE PROCESSING SYSTEM - An image processing system can quickly calculate a motion vector. The image processing system includes: a characteristic region detecting section that detects a characteristic region from each of a plurality of moving image constituting images included in a moving image; a characteristic region identifying section that identifies characteristic regions having high correlation in the plurality of moving image constituting images; a position difference calculating section that calculates a difference in position between the characteristic regions having high correlation identified by the characteristic region identifying section; a search region determining section that determines a narrower motion vector search region when a magnitude of the difference in position is smaller; and a compression section that compresses the moving image using a motion vector calculated by searching the motion vector search region determined by the search region determining section.01-27-2011
20110019910IMAGE PROCESSING SYSTEM - An image processing system capable of reducing an operation time required to generate a high image quality image, includes an image obtaining section that obtains an input image having been captured; a characteristic region information obtaining section that obtains information indicating a characteristic region in the input image; a model storage section that stores a model representing an object by a character parameter; an image generating section that converts an image of an object included in the characteristic region in the input image into a high image quality image having an image quality higher than an image quality of the input image, by adapting the image of the object included in the characteristic region in the input image to the model; and an output section that outputs an image including the high image quality image and an image other than the characteristic region.01-27-2011

Patent applications by Hirokazu Kameyama, Kanagawa JP

Hirokazu Kameyama, Kanagawa-Ken JP

Patent application numberDescriptionPublished
20080297863METHOD OF AND SYSTEM FOR IMAGE PROCESSING AND COMPUTER PROGRAM - In an image processing method for carrying out an image quality correction for correcting an image quality on each of a plurality of images in an image group to obtain corrected images, an image processing method includes the steps of carrying out a temporary image quality correction for correcting an image quality on each images in the image group to obtain a temporarily corrected image. A characteristic value representing an image quality for each temporarily corrected image is calculated and a target characteristic value is calculated so that dispersion of each characteristic value to the target characteristic value is minimized on the basis of the characteristic value of each temporarily corrected image. A correction value of each of the plurality of images in the image group which corrects the characteristic value thereof to the target characteristic value is obtained, and the image is corrected with the correction value.12-04-2008
20090074325METHOD, DEVICE AND PROGRAM FOR CUTTING OUT MOVING IMAGE - To enable obtainment of a composite image including a movement trajectory of a moving body, even from a moving image including a background. Sampling means samples frames from moving image data. First mask frame calculating means calculates mask frames including mask regions, which correspond to positions of the moving body on the frames. Second mask frame calculating means accumulates and binarizes the mask frames to calculate a reference mask frame. Region cutout means masks the frames by using the mask frames and the reference mask frame to cut out moving body regions, which correspond to a moving body, from the frames. Composing means overwrites moving body regions on one of the frames in chronological order to obtain a composite image, which includes the movement trajectory of the moving body.03-19-2009
20100195927METHOD AND DEVICE FOR VIDEO IMAGE PROCESSING, CALCULATING THE SIMILARITY BETWEEN VIDEO FRAMES, AND ACQUIRING A SYNTHESIZED FRAME BY SYNTHESIZING A PLURALITY OF CONTIGUOUS SAMPLED FRAMES - To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames Fr08-05-2010
20100226591METHOD, DEVICE AND PROGRAM FOR CUTTING OUT MOVING IMAGE - To enable obtainment of a composite image including a movement trajectory of a moving body, even from a moving image including a background. A sampler samples frames from moving image data. A first mask frame calculator calculates mask frames including mask regions, which correspond to positions of the moving body on the frames. A second mask frame calculator accumulates and binarizes the mask frames to calculate a reference mask frame. A region masker masks the frames by using the mask frames and the reference mask frame to cut out moving body regions, which correspond to a moving body, from the frames. A composer overwrites moving body regions on one of the frames in chronological order to obtain a composite image, which includes the movement trajectory of the moving body.09-09-2010

Patent applications by Hirokazu Kameyama, Kanagawa-Ken JP

Hirokazu Kameyama, Kanganawa JP

Patent application numberDescriptionPublished
20100158398IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - Provided is an image processing apparatus, including a characteristic region detecting section that detects a characteristic region from an input image; an image generating section that generates, from the input image, a low-quality image, which is of lower quality than the input image, and a characteristic region image, which is of higher quality than the low-quality image at least the characteristic region; a difference processing section that generates a characteristic region difference image indicating a difference between an image of the characteristic region in the characteristic region image and an image of the characteristic region in the low-quality image; and an encoding section that encodes the characteristic region difference image and the low-quality image.06-24-2010

Hirokazu Kameyama, Ashigarami-Gun JP

Patent application numberDescriptionPublished
20090136152IMAGE CORRECTING APPARATUS AND METHOD, AND IMAGE CORRECTING PROGRAM, AND LOOK-UP TABLE CREATING APPARATUS AND METHOD, AND LOOK-UP TABLE CREATING PROGRAM - A bright luminance value, a dark luminance value, and an average luminance value relating to a face image portion included in an image represented by fed image data are calculated in calculating circuits. Further, a target bright luminance value and a target dark luminance value are calculated in a calculating circuit on the basis of a target average luminance value and a dynamic range that are inputted from an input device and the calculated bright luminance value, dark luminance value, and average luminance value. Interpolation processing based on a correspondence between the calculated bright luminance value, dark luminance value, and average luminance value relating to the face image portion and the target bright luminance value, the target dark luminance value, and the target average luminance value respectively corresponding thereto is performed in a corrected value calculating circuit, to create a look-up table.05-28-2009