Abstract: A display device includes: a determination unit that determines, on the basis of display information, a period of time during which a display unit displays the display information with a first display characteristic; and a controller that controls the display unit to display the display information with the first display characteristic and to display the display information with a second display characteristic when the period of time has elapsed since the display with the first display characteristic was started.

Abstract: An image processing apparatus having: one or more processor devices configured to: acquire image data of a plurality of images; acquire, from the image data of the plurality of images, a plurality of first corresponding points corresponding to each other between the plurality of images; calculate a first fundamental matrix based on the plurality of first corresponding points; calculate depths for the plurality of first corresponding points based on the first fundamental matrix; extract a plurality of second corresponding points from the plurality of first corresponding points based on the depths such that the plurality of second corresponding points include a nearest one of the plurality of first corresponding points and a farthest one of the plurality of first corresponding points; calculate a second fundamental matrix based on the plurality of second corresponding points; and perform three-dimensional reconstruction of the plurality of images based on the second fundamental matrix.

Abstract: A barcode reader includes: a reading unit that reads a barcode; a decoder that decodes the barcode read by the reading unit so as to obtain barcode information; a determination unit that determines whether the barcode information obtained by the decoder matches barcode information stored in a storage; and a changing unit that changes a reading condition of the reading unit or a decoding condition of the decoder when a result of the determination performed by the determination unit is “match”.

Abstract: A barcode reader includes: a reading unit that reads a barcode; a decoder that decodes the barcode read by the reading unit so as to obtain barcode information; a determination unit that determines whether the barcode information obtained by the decoder matches barcode information stored in a storage; and a changing unit that changes a reading condition of the reading unit or a decoding condition of the decoder when a result of the determination performed by the determination unit is “match”.

Abstract: A display device includes: a determination unit that determines, on the basis of display information, a period of time during which a display unit displays the display information with a first display characteristic; and a controller that controls the display unit to display the display information with the first display characteristic and to display the display information with a second display characteristic when the period of time has elapsed since the display with the first display characteristic was started.

Abstract: An image processing apparatus having: one or more processor devices configured to: acquire image data of a plurality of images; acquire, from the image data of the plurality of images, a plurality of first corresponding points corresponding to each other between the plurality of images; calculate a first fundamental matrix based on the plurality of first corresponding points; calculate depths for the plurality of first corresponding points based on the first fundamental matrix; extract a plurality of second corresponding points from the plurality of first corresponding points based on the depths such that the plurality of second corresponding points include a nearest one of the plurality of first corresponding points and a farthest one of the plurality of first corresponding points; calculate a second fundamental matrix based on the plurality of second corresponding points; and perform three-dimensional reconstruction of the plurality of images based on the second fundamental matrix.

Abstract: An image processing apparatus includes an image acquisition unit that acquires a plurality of images, a corresponding point acquisition unit, a first fundamental matrix calculation unit, a depth calculation unit, a corresponding point extraction unit, and a fundamental matrix determination unit. The corresponding point acquisition unit acquires a plurality of first corresponding points of the images. The first fundamental matrix calculation unit calculates a first fundamental matrix based on the first corresponding points. The depth calculation unit calculates depths for the first corresponding points based on the first fundamental matrix. The corresponding point extraction unit extracts a plurality of second corresponding points from the first corresponding points based on the depths. The fundamental matrix determination unit calculates a second fundamental matrix based on the second corresponding points.

Abstract: An image processing apparatus includes an image acquisition unit that acquires a plurality of images, a corresponding point acquisition unit, a first fundamental matrix calculation unit, a depth calculation unit, a corresponding point extraction unit, and a fundamental matrix determination unit. The corresponding point acquisition unit acquires a plurality of first corresponding points of the images. The first fundamental matrix calculation unit calculates a first fundamental matrix based on the first corresponding points. The depth calculation unit calculates depths for the first corresponding points based on the first fundamental matrix. The corresponding point extraction unit extracts a plurality of second corresponding points from the first corresponding points based on the depths. The fundamental matrix determination unit calculates a second fundamental matrix based on the second corresponding points.

Abstract: An image processing device, method and program in which a feature point derivation unit derives a plurality of characteristic points in an input moving image. A tracking subject feature point setting unit sets a feature point within a tracking subject, from the characteristic points. A background feature point setting unit sets a group of background feature points from the characteristic points. The background feature points are not located within the tracking subject. A motion detection unit detects movement over time of the background feature points. A clip area setting unit sets a size and a position of a clip area of an image to be employed which includes the feature point within the tracking subject, on the basis of the movement of the feature point within the tracking subject and the movement of the background feature points, when the motion detection unit detects movement of the background feature points.

Abstract: An image processing device, method and program in which a feature point derivation unit derives a plurality of characteristic points in an input moving image. A tracking subject feature point setting unit sets a feature point within a tracking subject, from the characteristic points. A background feature point setting unit sets a group of background feature points from the characteristic points. The background feature points are not located within the tracking subject. A motion detection unit detects movement over time of the background feature points. A clip area setting unit sets a size and a position of a clip area of an image to be employed which includes the feature point within the tracking subject, on the basis of the movement of the feature point within the tracking subject and the movement of the background feature points, when the motion detection unit detects movement of the background feature points.

Abstract: An image processing device comprises: a tracking area setting unit that sets a tracking area in an input moving image obtained by photographing an object; a following feature point setting unit that detects a feature point that exhibits a motion in correlation with the motion of the tracking area and sets the detected feature point as a following feature point; a motion detection unit that detects movement over time of the following feature point within the input image; and a clip area setting unit that sets a clip area of an image to be employed when a partial image including the tracking area is clipped out of the input image for either recording or displaying or both recording and displaying, and that sets a size and a position of the clip area on the basis of a motion detection result obtained by the motion detection unit.

Abstract: An image processing device comprises: a tracking area setting unit that sets a tracking area in an input moving image obtained by photographing an object; a following feature point setting unit that detects a feature point that exhibits a motion in correlation with the motion of the tracking area and sets the detected feature point as a following feature point; a motion detection unit that detects movement over time of the following feature point within the input image; and a clip area setting unit that sets a clip area of an image to be employed when a partial image including the tracking area is clipped out of the input image for either recording or displaying or both recording and displaying, and that sets a size and a position of the clip area on the basis of a motion detection result obtained by the motion detection unit.

Abstract: A panoramic image generation device generates a panoramic image by synthesizing a plurality of static images constituting the moving image, determines a size at which a display panoramic image is to be cut out from the panoramic image, and detects a focus photography position from the panoramic image. The panoramic image generation device cuts out the display panoramic image from the panoramic image on the basis of the detected focus photography position and the determined size.

Abstract: In a method of coding light ray information including information about a position on a predetermined surface and information about an incident angle to the surface when a ray of light from a subject enters the surface, the light ray information is divided into two or more processing unit blocks. In a first coding process, coding are executed for each of the two or more processing unit blocks, and first block unit information composing first image information about the subject is obtained. In a second coding process, coding are executed for each of the two or more processing unit block, and second block unit information composing second image information different types from the first image information is obtained.

Abstract: In a decoding method for decoding coded light ray information, coded first image information and coded second image information different from the first image information are decoded. The first image information and the second image information are obtained in taking a subject. The light ray information is generated based on the decoded first and second image information. Image information corresponding to a first focus value is generated and stored in a storage medium, based on the generated light ray information. An image is displayed based on the image information corresponding to the first focus value. Image information corresponding to a second focus value different from the first focus value is generated and stored in the storage medium, based on the generated light ray information. The image information corresponding to the second focus value is generated and stored, while the image is displayed or before the image is displayed.

Abstract: There is provided an image capturing apparatus and method capable of preventing frame-out of a moving object even when a fast-moving object is photographed. The solution comprises: an image capturing unit that obtains image data by capturing an object; a moving object detecting unit that detects a moving object to be tracked based on the image data obtained with the image capturing unit; a tracking frame setting unit that sets an area portion which includes the moving object in the image data as a tracking frame when the moving object is detected by the moving object detecting unit; a display frame setting unit that sets an area which is shifted from the tracking frame in the image data in the direction opposite to the moving direction of the moving object as a display frame; and a display processing unit that displays the image data which is included in the display frame on a display unit.

Abstract: The present image encoding method and the like represents a pixel block prior to performing spatial frequency transformation in processing such as JPEG or the like as a matrix, calculates sum data sc (i) of pixel values in a column i in the matrix and sum data sr (j) of pixel values in a row j in the matrix, calculates nc (i) and nr (j) such that the sc (i) and sc (j) are arrayed in descending order respectively, and when a predetermined condition that permutation is considered reasonable is satisfied, performs permutation of the matrix, generates header information Ph (n) including the nc (i) and nr (j) necessary for subjecting the matrix to permutation in the original state, and adds this to the header of a compressed image file such as JPEG or the like.

Abstract: Target pixel blocks are picked up from a target image selected from a plurality of images picked up by an imaging device, motion vectors of these target pixel blocks are calculated between two images, and affine transformation coefficients for blur correction is calculated based on the motion vectors. Weighting coefficients are set for target pixel blocks based on a confidence level of the calculated motion vectors with respect to the image blur. For example, motion vectors in peripheral portion of the image is usually large in size, so that the confidence level of these may be enhanced.

Abstract: An image capturing device and a blurring correction method in which an imaging unit or a blurring correction optical system is driven to correct blurring in response to an output of a vibration detecting sensor. In such blurring correction, when a driving mechanism has a frictionally connected section, the blurring correction impairs an image at a time when an impact is generated. Therefore, an impact detecting section is disposed, and the blurring correction is not performed when the impact detecting section detects the impact.

Abstract: In a decoding method for decoding coded light ray information, coded first image information and coded second image information different from the first image information are decoded. The first image information and the second image information are obtained in taking a subject. The light ray information is generated based on the decoded first and second image information. Image information corresponding to a first focus value is generated and stored in a storage medium, based on the generated light ray information. An image is displayed based on the image information corresponding to the first focus value. Image information corresponding to a second focus value different from the first focus value is generated and stored in the storage medium, based on the generated light ray information. The image information corresponding to the second focus value is generated and stored, while the image is displayed or before the image is displayed.