Abstract: The present invention provides a novel antisense oligonucleotide and a composition for preventing or treating glycogen storage disease type Ia. The present invention provides an antisense oligonucleotide which hybridizes with a pre-mRNA sequence derived from a region including at least one of a base at position 42911000, a base at position 42911004, and a base at position 42911005 in a base sequence of human chromosome 17 of GRCh38/hg38 and has activity to inhibit aberrant splicing of pre-mRNA of c.648G>T variant G6PC.

Abstract: A face detection device for detecting the face of a person in an input image includes the a face detection circuit, a signal processing circuit, and a controller. The face detection circuit includes a hardware circuit that is configured to detect a face in an input image. The signal processing circuit is configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image. The controller is configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: A face detection device for detecting the face of a person in an input image includes the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection in a parallel manner on an image of a frame or on respective images of adjacent frames among consecutive frames, and to output a final face detection result on the basis of face detection results obtained by the face detection circuit and the signal processing circuit.

Abstract: Disclosed is an imaging apparatus including a plurality of imaging units; a correction unit that executes a correction process for images captured by a plurality of the imaging units; and a control unit that computes a correction parameter applied to a correction process in the correction unit, wherein the correction unit executes distortion aberration correction and hand-vibration correction for each of the captured images and an image characteristic matching correction process for matching characteristics between a plurality of images captured by a plurality of the imaging units.

Abstract: An imaging apparatus includes an image pickup unit for capturing an image of a subject, an image input unit for inputting the image captured by the image pickup unit, a face detecting unit for detecting a face from the image input by the image input unit, a face position marker generating unit for generating a face position marker indicating a position of the face, detected by the face detecting unit, in the image input by the image input unit, an overlaying unit for overlaying the face position marker generated by the face position marker generating unit and the image input by the image input unit, and a display unit for displaying an image overlaid by the overlaying unit.

Abstract: An image-data processing apparatus. The image-data processing apparatus includes: an imaging section capturing an image of a subject and generating image data; a feature-extraction processing section extracting a visual feature from the generated image data; a feature-comparison processing section comparing a visual feature, having been extracted from recorded image data in a recording medium and related to the recorded image data, with the visual feature extracted by the feature-extraction processing section; and a control section reading image data having the visual feature extracted by the feature-extraction processing section from the recording medium on the basis of the comparison result.

Abstract: An image processing apparatus includes: a subject information storage unit configured to store feature quantities and attributes relating to a plurality of subjects; a subject detecting unit configured to detect a subject included in an image; an attribute determining unit configured to determine the attributes of the detected subject; a feature quantity extracting unit configured to extract a feature quantity relating to the detected subject; and a similarity calculating unit configured to select one or a plurality of feature quantities from feature quantities relating to a plurality of subjects stored in the subject information storage unit based on the determined attributes to calculate similarity between a subject according to the selected feature quantities, and the detected subject, based on the selected feature quantities and the extracted feature quantity.

Abstract: An image capturing device includes: an image capturing unit that captures a subject and generates a captured image; a resolution converting unit that converts the captured image into a plurality of images with different resolutions; an image storing unit that stores the converted plurality of images with different resolutions as a set of images; a first image analysis processing unit that performs a first image analysis process of analyzing the captured image by using a combination of a plurality of images among the images included in the set of images; and a second image analysis processing unit that performs a second image analysis process that is different from the first image analysis process and is a process of analyzing the captured image by using, among the images included in the set of images, a combination of a plurality of images different from the combination of a plurality of images.

Abstract: In an image taking apparatus, an imaging unit senses an image of a subject, and a face detection unit detects a face in the image sensed by the imaging unit. A motion detection unit detects an amount of face motion indicating an amount of shake of an area of the face detected by the face detection unit in the image sensed by the imaging unit and also detects an amount of background motion indicating an amount of shake of an area other than the face area. A shake correction unit corrects the shake of the image sensed by the imaging unit according to the amount of face motion and the amount of background motion detected by the motion detection unit.

Abstract: The present invention relates to an imaging device and a method of processing an imaging result in an imaging device, and is applied to e.g. an electronic still camera to thereby allow the camera to correct image quality readily and flexibly with avoiding the deterioration of the image quality effectively. In the present invention, a three-dimensional look-up table is provided and an imaging result (Y2, Cb2, Cr2) is corrected by use of the three-dimensional look-up table.

Abstract: An image processing apparatus includes an object-feature-information storage unit configured to store feature information of a predetermined object; an image inputting unit configured to input an image; an object detecting unit configured to detect an object contained in the input image; an attribute determining unit configured to determine an attribute of the detected object; a feature-point determining unit configured to determine, according to the determined attribute, positions of feature points to be set in the input image; and a similarity calculating unit configured to calculate, by comparing feature information stored in the object-feature-information storage unit to feature information at feature points set in the input image, similarity between an object corresponding to the feature information stored in the object-feature-information storage unit and the detected object.

Abstract: Disclosed is an imaging apparatus including a plurality of imaging units; a correction unit that executes a correction process for images captured by a plurality of the imaging units; and a control unit that computes a correction parameter applied to a correction process in the correction unit, wherein the correction unit executes distortion aberration correction and hand-vibration correction for each of the captured images and an image characteristic matching correction process for matching characteristics between a plurality of images captured by a plurality of the imaging units.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: A high-frequency integrating circuit 32 detects characteristics of horizontal high-frequency components and vertical high-frequency components of the image formed by a processing-target image signal. Based on the detection result, a CPU 61 obtains the number of bits of the after-compression-coding data of the image signal, and calculates the compression rate dependent upon the number of bits. The CPU 61 controls an image codec 36 so that the processing-target image signal is compression-coded through only one time of compression coding processing by use of the calculated compression rate. This configuration allows the image compression processing (compression coding) to be rapidly executed with high accuracy.

Abstract: An image processing apparatus includes: an image acquisition section which acquires an original image; a resolution conversion section which converts the resolution of the original image acquired by the image acquisition section and generates a plurality of reduced images having different resolutions; a detection section which processes by template matching the plurality of reduced images generated by the resolution conversion section and detects an area occupied by a picked-up image of a particular object corresponding to the template, from the reduced images; and a detection result processing section which detects the area occupied by the picked-up image of the particular object on the original image, by processing a detection result obtained by the detection section, the detection section detecting the area occupied by the picked-up image of the particular object by processing the plurality of reduced images in an order in which resolution sequentially varies on a step-by-step basis.

Abstract: An imaging apparatus includes face detection means for searching image data from at least one direction to detect a face portion in the image data; capture mode search direction instruction means for instructing a search direction of the image data to the face detection means in a capture mode, which is a mode of recording the image data; and monitoring mode search direction instruction means for instructing the search direction of the image data to the face detection means in a monitoring mode, which is a mode of displaying the image data.

Abstract: For each pixel read from an imaging device, a horizontal counter value and a vertical counter value corresponding to the pixel are supplied from a signal generator to a distance computation section via an optical-axis-center coordinate setting section and an up-and-down and right-and-left weighting section. In the distance computation section, the distance to the optical-axis center is computed, and correction coefficients for the zoom wide end and for the zoom tele end, which correspond to the distance, are obtained by look-up tables. The two obtained correction coefficients are blended at a mixture ratio determined by a blend ratio setting section. The blended shading correction coefficients are gain adjusted by a gain adjustment section, after which they are supplied to a correction section. As a result, a correction corresponding to the distance to the optical-axis-center position is performed on the signal of each pixel supplied from an imaging section.