Abstract: A first face region within a first image is determined. The first face region includes a location of a face within the first image. Based on the determined first face region within the first image, a predicted face region within a second image is determined. A first region of similarity within the predicted face region is determined. The first region of similarity has at least a predetermined degree of similarity to the first face region within the first image. Whether a second face region is present within the second image is determined. The location of the face within the second image is determined based on the first region of similarity, the determination of whether the second face region is present within the second image, and a face region selection rule.

Abstract: In a content management system, the still image extracting unit extracts a plurality of frames of still image data from the moving image data based on the motion of the person of interest. The scene determining unit determines a scene of the moving image including a still image corresponding to each of the plurality of frames of the still image data. The management marker registration unit registers, as a management marker, each of the plurality of frames of still image data or an image feature amount of each still image in association with a scene of a moving image corresponding to each still image. The management image generator generates management image data including at least two pieces of the still image data.

Abstract: Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.

Abstract: According to a first aspect of the present disclosure, a fingerprint sensing system is provided, comprising: at least one sensing element configured and arranged to generate a sensing characteristic; a detection unit configured and arranged to detect changes of said sensing characteristic over time; a processing unit configured and arranged to determine if the changes of said sensing characteristic substantially conform to a predefined liveness function. According to a second aspect of the present disclosure, a corresponding fingerprint sensing method is conceived. According to a third aspect of the present disclosure, a corresponding computer program product is provided.

Abstract: According to one embodiment, a medical image processing apparatus is configured to capture images of an observation object over time to obtain a three-dimensional image. The observation object includes a first hard tissue and a second hard tissue which are adjacent to each other. The medical image processing apparatus includes a control circuit, a plane acquisition unit, and an image generator. Under the control of the control circuit, the plane acquisition unit extracts the first hard tissue and the second hard tissue based on the three-dimensional image. The image generator generates, as an image for observation, a cross-sectional image of a plane including the first hard tissue and at least part of the second hard tissue or an image projected on a plane parallel to the plane including the first hard tissue and at least part of the second hard tissue based on the three-dimensional image.

Abstract: An object recognition apparatus includes a two-dimensional sensor for acquiring two-dimensional information of an object at a first clock time, a three-dimensional sensor for acquiring three-dimensional information of the object at a second clock time, a storage unit that associates and stores a first position of the two-dimensional sensor and the two-dimensional information, and a second position of the three-dimensional sensor and the three-dimensional information, and an arithmetic operation unit that calculates the amount of change in orientation between the orientation of the two-dimensional sensor and the orientation of the three-dimensional sensor based on the stored first position and second position, that converts the three-dimensional information acquired at the second position into three-dimensional information acquired at the first position based on the calculated amount of change in orientation, and that calculates the state of the object based on the converted three-dimensional information and t

Abstract: There are provided a dispensing inspection device, a dispensing inspection method, a program, and a recording medium capable of inspecting whether dispensing is appropriately performed with high reliability. By obtaining a first image captured by imaging a rear surface of a medicine sheet and a second image obtained by imaging a lateral side thereof, and a third image obtained by irradiating a front surface of a fractional medicine with light from an inclined lower side, detecting a medicine name using OCR and/or code recognition from the first image, detecting the number of medicine sheets from the second image, detecting the number of fractional medicines from the third image, detecting a total number of medicines from the number of the medicine sheets and the number of the fractional medicines, and determining whether a medicine name and the number of medicines in prescription information and the detected medicine name and the detected total number of medicines match each other.

Abstract: A segmentation-and-spectrum-based metal artifact reduction (MAR) system and method is applied in polychromatic X-ray CT system that uses a priori knowledge of high-Z metals in samples which contribute the primary artifacts at a known x-ray energy spectrum. Using a basis materials decomposition, the method solves the problem of reducing or eliminating metal artifacts associated with beam hardening using only a single scan of the sample performed at selected x-ray energy.

Abstract: An image forming apparatus includes a conversion acquisition unit configured to acquire a gradation conversion characteristic based on an X-ray image captured by an X-ray sensor, a storage unit configured to store a pixel value range in which a signal-to-noise ratio is higher than a threshold value according to a characteristic of the X-ray sensor, a determination unit configured to determine whether a pixel value range in which gradation is widened according to the gradation conversion characteristic is included in the stored pixel value range, and a correction unit configured to correct the gradation conversion characteristic depending on a result of determination by the determination unit.

Abstract: A method for image analysis comprises receiving one or more current images of a lesion from a body of a person, wherein the one or more current images are electronically captured by and transmitted from a capture device, and analyzing the one or more current images, wherein the analyzing comprises performing image processing to compare the one or more current images captured at a first time to one or more previous images of the lesion captured at a second time prior to the first time, and determining at least one difference between the one or more current images and the one or more previous images based on the comparing. The method further comprises determining a probability that the lesion will become diseased based on the analysis, and recommending a time for a future image capture of the lesion and/or a consultation with a practitioner based on the determined probability.

Abstract: A method of reading arbitrary symbols is described. Symbols may degrade over time. Shapes of symbols as they degrade are used to update an initial symbol library, which is created based on actual markings, rather than idealized symbols. Marks associate with shapes, which associate to symbols, which in aggregate associate with an object ID. A read mark is compared to all the shapes in the library to determine a most likely shape. A selection set is used to limit shape selection, based on the comparison, to shapes of valid symbols. Comparison methods use probability distributions. Confidence values are used to validate output, generate warnings, and to control updating of the library. Weighted averaging based on confidence values or age of reads may be used at the level of shapes, comparison distributions, or selections.

Abstract: To detect annotation lines in medical image data. Horizontal annotation pixel determination means obtains the color component value difference between each pixel of a predetermined number of connected adjacent pixels in a first direction of the target pixel and an adjacent pixel thereof. If the total number of pixels having color component value differences, of the predetermined number of pixels is equal to or smaller than a first threshold, the horizontal annotation pixel determination means determines that the target pixel is an annotation pixel. If annotation pixels are successive in the horizontal direction in a predetermined number, horizontal annotation line determination means determines that the annotation pixels form an annotation line. The same applies to the vertical direction. The determined annotation lines are provided to border detection means.

Abstract: Systems and methods are disclosed herein that allow users to take photographs of objects from any angle and perspective and a rectification algorithm will rectify the angled photos to create scaled top-views of the objects. Rectified objects in the photographs will appear as if they were taken from directly above the object at an exact distance away from the object. Rectified and scaled photos of objects may be further segmented and/or overlaid on top of each other to enable quick visual sizing comparisons between two or more objects and/or accurate dimensional measurements between two or more objects.

Abstract: A color-edge contrast preserver includes a demosaicing module, a color-correcting module, a converter module and a chromatic-denoising module. The demosaicing module may demosaic a red-white-blue (RWB) pixel image of the image. The color-correcting module may color correct the demosaiced RWB pixel image and may produce a red-green-blue (RGB) pixel image from the color-corrected demosaiced RWB pixel image. The converter module to convert the RGB pixel image to a hue-saturation-value (HSV) pixel image and to generate a similarity kernel ?Y. The chromatic-denoising module may denoise a red pixel image and a blue pixel image of the RWB pixel image using the similarity kernel ?Y.

Abstract: A compression device for compressing image data generated by a computed tomography (CT) imaging system is described herein. The compression device is configured to compress the image data by implementing a method including receiving image data from the CT imaging system and requantizing the image data in a square root domain. The method further includes identifying a group of projections (GOP) in the image data, including a first projection and a plurality of subsequent projections, and performing spatial-delta encoding on the first projection and temporal-delta encoding on each of the plurality of subsequent projections. The method also includes identifying a signed value in the GOP, and converting the signed value to an unsigned value. The method further includes entropy coding the image data in the GOP, and packetizing the GOP for transmission or storage.

Abstract: Provided is an information processing apparatus including: a photographing information acquisition unit configured to acquire an image at a time of photographing photographed by a camera and a temperature of an illumination light source at the time of photographing; and a correction unit configured to correct a brightness of the image at the time of photographing or an exposure time period of the camera on the basis of the temperature of the illumination light source at the time of photographing, the brightness of the image at the time of photographing, and temperature characteristics of the illumination light source, the temperature characteristics having been prepared in advance.

Abstract: A measurement apparatus includes an optical combining unit configured to optically combine light from a first light source and light from a second light source, a forming unit configured to form pattern light using light from the first light source, a projection optical system configured to project the optically combined light onto an object, an imaging unit configured to image the object on which the pattern light is projected to capture a first image and to image the object illuminated with light from the second light source via the projection optical system to capture a second image, and a processing unit configured to correct the first image using the second image and to obtain information on a shape of the object based on the corrected first image.

Abstract: A method comprising operating at least one hardware processor for: receiving, as input, a plurality of electronic documents, training a machine learning classifier based, at least on part, on a training set comprising: (i) labels associated with the electronic documents, (ii) raw text from each of said plurality of electronic documents, and (iii) a rasterized version of each of said plurality of electronic documents, and applying said machine learning classifier to classify one or more new electronic documents.

Abstract: In an embodiment, a method converts two images to a transform representation in a transform domain. For each spatial position, the method examines coefficients representing a neighborhood of the spatial position that is spatially the same across each of the two images. The method calculates a first vector in the transform domain based on first coefficients representing the spatial position, the first vector representing change from a first to second image of the two images describing deformation. The method modifies the first vector to create a second vector in the transform domain representing amplified movement at the spatial position between the first and second images. The method calculates second coefficients based on the second vector of the transform domain. From the second coefficients, the method generates an output image showing motion amplified according to the second vector for each spatial position between the first and second images.

Abstract: A method is provided for obtaining a disparity map for reconstructing a three dimensional image. The map is based upon a large range of disparities and is obtained by using a hardware provided with a buffer capable of storing data that relates to substantially less disparities than a data associated with the large disparities' range. The method comprises the steps of: providing a pair of stereoscopic images captured by two image capturing devices; dividing the large disparities' range into N disparity ranges; executing a stereo matching algorithm for a plurality of times, using data retrieved from a pair of captured images, wherein the algorithm is executed each time while using a different disparity range out of the N disparity ranges, thereby obtaining a plurality of individual disparity maps, each corresponding to a different disparity range; and merging the individual disparity maps to generate a map of the large disparities' range.