Abstract: A position detection device capable of preventing an operation that is not intended by an operator from being detected as an input is provided. The position detection device includes: a detecting section that detects an indicator that performs an operation with respect to a screen, and an indicator different from the indicator; an imaging section that forms a captured image obtained by imaging a range including the screen; and a control section that detects a motion of the indicator with respect to the screen and a position of the indicator with respect to the screen based on data on the captured image of the imaging section to determine whether or not to detect an operation based on the indicator as an input.

Abstract: A position detection device capable of preventing an operation that is not intended by an operator from being detected as an input is provided. The position detection device includes: a detecting section that detects an indicator that performs an operation with respect to a screen, and a target different from the indicator; an imaging section that images a range including the screen to form a captured image; and a control section that detects a motion of the indicator based on data on the captured image of the imaging section to determine whether or not to detect an operation based on the indicator as an input.

Abstract: Various aspects of the present disclosure are directed to characterizing objects or other items, which as may be implemented in a machine-vision type approach. As may be implemented with one or more embodiments, some of which may involve a Fourier transform analysis, object regions (one or more objects) are identified in image data depicting several objects, and the size of each object-region is identified. Respective ratios of the size of each object-region to the size of each of the other object regions are determined, and object regions having a higher total number of ratios that round to one (relative to the other object regions) are identified. An expected (e.g., average) individual object size is determined based on the sizes of the identified object regions, and a total number of the objects in the image is determined based on the expected individual object size and the sizes of the object regions.

Abstract: Conventionally, when an input operation is recognized based on a three-dimensional measurement of user's hands, it was difficult to discriminate whether a plurality of detected hands is a pair of hands of a user or a plurality of users. An information processing apparatus according to the present invention includes an image acquiring unit configured to acquire information about an image capturing a space on an operation surface, a position identifying unit configured to identify the position where each of a plurality of objects to be used for an operational input has entered into the space based on information about the acquired image, and an association unit configured to identify a combination of a plurality of objects based on the position identified for each of the plurality of objects and associate the combined plurality of objects with each other.

Abstract: In some aspects, the present disclosure relates to a method for identifying the type of the unit by camera.

Abstract: Methods and systems for integrated multi-pass reticle inspection are provided. One method for inspecting a reticle includes acquiring at least first, second, and third images for the reticle. The first image is a substantially high resolution image of light transmitted by the reticle. The second image is a substantially high resolution image of light reflected from the reticle. The third image is an image of light transmitted by the reticle that is acquired with a substantially low numerical aperture. The method also includes detecting defects on the reticle using at least the first, second, and third images for the reticle in combination.

Abstract: A deposition accuracy determination method, including: capturing an image of a thin film for inspection formed on a substrate by depositing a mask; and converting the image to a color profile to distinguish false measurement data.

Abstract: Systems for enabling automated electronic processing of tissue samples are provided. A tissue sample intake mechanism receives a tissue sample that is to be processed, and a cutting mechanism cuts the tissue sample to produce a plurality of sections of the tissue sample. Further, a transporting mechanism causes the tissue sections to be moved from a first location to a second location without user intervention. One or more image capturing devices that capture electronic images of the each of the plurality of sections of the tissue sample are also provided in the system. Additionally, a three-dimensional representation engine is provided for generating a three-dimensional representation of the tissue sample. The three-dimensional representation enables viewing of the electronic images associated with the each of the plurality of sections of the tissue sample.

Abstract: Methods are provided for performing automated digital processing of a tissue sample. A tissue sample that is to be processed to produce a three-dimensional representation of the tissue sample is received, and is aligned with a cutting mechanism that comprises a blade. A plurality of sections of the tissue sample are produced by way of a rotating blade. The sections are moved from a first location to a second location on a surface of a transporting mechanism. During this move, electronic images of the each of the sections are captured using image capturing devices. The images for the each of the sections are compiled to generate a composite image for the each of the plurality of sections. The composite images are used to generate the three-dimensional representation of the tissue sample.

Abstract: A medical diagnosis apparatus of embodiments includes a scanner and processing circuitry. The scanner configured to scan a three-dimensional region including a target region and acquire data of the three-dimensional region. The processing circuitry is configured to discretely arrange fixed points framing three-dimensional shape of the target region in a first medical image based on the data. The processing circuitry is configured to set a boundary of region of interest (ROI) on the three-dimensional shape of the target region according to a position of the fixed point. The processing circuitry is configured to receive an instruction to change a position of the boundary from an input device controlled by a user. The processing circuitry is configured to change the position of the boundary based on a position or positions of at least one of the fixed points according to the instruction while maintaining positions of the fixed points.

Abstract: Providing a medical image storage unit that stores a medical image, an image processing unit that performs image processing on a medical image to be stored in the medical image storage unit and stores the result of the image processing in association with the medical image, and a past medical image identification unit that identifies, at a storage time point of a new storage target medical image in the medical image storage unit or at a time point before the storage time point, a past medical image related to the new storage target medical image from the medical images stored in the medical image storage unit, wherein the image processing unit performs the same image processing as that for the new storage target medical image on the identified past medical image and stores the result of the image processing in association with the past medical image.

Abstract: An apparatus and method for supporting computer aided diagnosis (CAD). The apparatus includes: a control processor configured to determine a duration during which a remaining image of a first region of interest (ROI) detected from a first image frame is displayed, based on a characteristic of measuring the first ROI; and a display configured to mark a remaining image of a second ROI of a second image frame in the first image frame and display the marked image on a screen, in response to the first image frame being acquired during a duration set to display the remaining image of the second ROI. the first image frame is obtained subsequent to the second image frame.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a controller and a generator. The controller divides a plurality of slice regions that are sequentially arranged into a first group including two non-sequential slice regions and a second group including a slice region positioned between the two non-sequential slice regions and acquires data from the slice regions for each of the groups. When acquiring data from at least one of the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position between the two non-sequential slice regions. When acquiring data from the slice region positioned between the two non-sequential slice regions, the controller acquires the data after applying a pre-sat pulse to a position of at least one of the two non-sequential slice regions.

Abstract: The present embodiments relate to machine learning for multimodal image data. By way of introduction, the present embodiments described below include apparatuses and methods for learning a similarity metric using deep learning based techniques for multimodal medical images. A novel similarity metric for multi-modal images is provided using the corresponding states of pairs of image patches to generate a classification setting for each pair. The classification settings are used to train a deep neural network via supervised learning. A multi-modal stacked denoising auto encoder (SDAE) is used to pre-train the neural network. A continuous and smooth similarity metric is constructed based on the output of the neural network before activation in the last layer. The trained similarity metric may be used to improve the results of image fusion.

Abstract: An image processing apparatus and method are disclosed, which processes an image of a target object. The image processing apparatus includes an image acquisition unit which acquires a series of first images and a series of second images of the target object which are scanned at a first pull-back speed and at a second pull-back speed faster than the first pull-back speed, a correlation unit which correlates first images, which are scanned at the first pull-back speed, with first images, which are scanned at the second pull-back speed, and a control unit which correlates a series of the first images which are scanned at the first pull-back speed and a series of the second images which are scanned at the second pull-back speed so as to display the images on a display apparatus, based on the result of the correlation.

Abstract: There is provided an image registration device and an image registration method. The device includes: a feature extractor configured to extract, from a first image, a first feature group and to extract, from a second image, a second feature group; a feature converter configured to convert, using a converted neural network in which a correlation between features is learned, the extracted second feature group to correspond to the extracted first feature group, to obtain a converted group; and a register configured to register the first image and the second image based on the converted group and the extracted first feature group.

Abstract: The present disclosure provides systems and methods for using two imaging modalities for imaging an object at two different resolutions. For example, the system may utilize a first modality (e.g., ultrasound or electromagnetic radiation) to generate image data at a first resolution. The system may then utilize the other modality to generate image data of portions of interest at a second resolution that is higher than the first resolution. In another embodiment, one imaging modality may be used to resolve an ambiguity, such as ghost images, in image data generated using another imaging modality.

Abstract: Method and apparatus for detecting obstacle based on monocular camera are provided. The method includes: obtaining a target frame image and its adjacent frame image shot by the monocular camera; deleting an unstable feature point from an initial feature point set of the adjacent frame image to obtain a preferred feature point set; dividing a target feature point set to obtain several target feature point subsets; judging whether the target feature point subset corresponds to obstacle based on a change of a distance between points within a ground projection point set of the target feature point subset from adjacent frame time instant to target frame time instant; and determining a union of all the target feature point subsets which are judged as corresponding to obstacles as an obstacle point set of the target frame image.

Abstract: A detection apparatus for detecting a three-dimensional position of an object includes: an image storage unit that stores sequentially two images imaged when a robot is moving; a position/orientation information storage unit that stores position/orientation information of the robot when each image is imaged; a position information storage unit that detects an object from each image and stores position information of the object; a line-of-sight information calculating unit that calculates line-of-sight information of the object in a robot coordinate system using the position/orientation information of the robot which is associated with each image and the position information of the object; and a three-dimensional position detecting unit that detects a three-dimensional position of the object based on an intersection point of the line-of-sight information.

Abstract: A method and system that include an imaging device configured to capture image data of the vehicle. The vehicle includes one or more components of interest. The method and system include a memory device configured to store an image detection algorithm based on one or more image templates corresponding to the one or more components of interest. The method and system also includes an image processing unit operably coupled to the imaging device in the memory device. The image processing unit is configured to determine one or more shapes of interest of the image data using the image detection algorithm that correspond to the one or more components of interest, and determine one or more locations of the one or more shapes of interest respective to the vehicle.

Abstract: An apparatus includes an extraction unit configured to extract an area showing an arm of a user from a captured image of a space into which the user inserts the arm, a reference point determination unit configured to determine a reference point within a portion corresponding to a hand of the user in the area, a feature amount acquisition unit configured to obtain a feature amount of the hand corresponding to an angle around the reference point, and an identification unit configured to identify a shape of the hand in the image by using a result of comparison between the feature amount obtained by the feature amount acquisition unit and a feature amount obtained from dictionary data indicating a state of the hand. The feature amount is obtained from the dictionary data corresponding to an angle around a predetermined reference point.

Abstract: Automatic characterization or categorization of portions of an input multispectral image based on a selected reference multispectral image. Sets (e.g., vectors) of radiometric descriptors of pixels of each component of a hierarchical representation of the input multispectral image can be collectively manipulated to obtain a set of radiometric descriptors for the component. Each component can be labeled as a (e.g., relatively) positive or negative instance of at least one reference multispectral image (e.g., mining materials, crops, etc.) through a comparison of the set of radiometric descriptors of the component and a set of radiometric descriptors for the reference multispectral image. Pixels may be labeled (e.g., via color, pattern, etc.) as positive or negative instances of the land use or type of the reference multispectral image in a resultant image based on components within which the pixels are found.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: A three-dimensional coordinate computing apparatus includes an image selecting unit and a coordinate computing unit. The image selecting unit selects a first selected image from multiple captured images, and selects a second selected image from multiple subsequent images captured by the camera after the first selected image has been captured. The second selected image is selected based on a distance between a position of capture of the first selected image and a position of capture of each of the multiple subsequent images and the number of corresponding feature points, each of which corresponds to one of feature points extracted from the first selected image and one of feature points extracted from each of the multiple subsequent images. The coordinate computing unit computes three-dimensional coordinates of the multiple corresponding feature points based on two-dimensional coordinates of each corresponding feature point in the first and second selected images.

Abstract: One or more signals are used to identify regions of interest of an image. The signals are applied to the image to generate one or more models that are based on the regions of interest. The models may present different perspectives of the image by emphasizing various features and focal points. The models may be ranked and displayed according to a scoring paradigm that is based on one or more signals. Multi-tiered feedback mechanisms allow for the collection of user intent and/or other forms of explicit input. Feedback associated to the models may be obtained and used to generate additional models that are based on one or more signals and the feedback. The feedback may also be stored and utilized for machine learning purposes.

Abstract: A system and method for active contour segmentation where an image for a structure and an initial position on the image are received, a multi-scale image representation comprising successive image levels each having associated therewith a representation of the image is computed, a representation of the image at a given level having a different image resolution than that of a representation of the image at a subsequent level, a given one of the levels at which noise in the image is removed is identified, the initial position is set as a current contour and the given level as a current level, the current contour is deformed at the current level to expand into an expanded contour matching a shape of the structure, the expanded contour is set as the current contour and the subsequent level as the current level, and the steps are repeated until the last level is reached.

Abstract: In an example embodiment a method, apparatus and computer program product are provided. The method includes grouping pixels of an image into a plurality of pixel groups. The method includes determining representative descriptors for the plurality of pixel groups and further grouping the plurality of pixel groups into a set of pixel groups based at least on similarity between the representative descriptors for the plurality of pixel groups. The method also includes receiving a selection of at least one region of the image. The method includes segmenting at least one object of the image based at least on an overlap between the at least one region and the set of pixel groups, wherein the at least one object is associated with one or more pixel groups of the set of pixel groups that overlap with the at least one region.

Abstract: Absolute motion values between two frames of a sequence of successive image frames are estimated based on a determination of a plurality of pyramid levels of Gaussian pyramid representations of the two frames. The Gaussian pyramid representations of the two frames are pyramid level-wise compared to generate arrays of pixel-by-pixel distance measures between corresponding pyramid levels. Arrays of motion values from the distance measures are pyramid level-wise determined, weighted by level values assigned to the corresponding pyramid levels. Then, recursively from top to bottom pyramid levels, weighted motion values of corresponding motion arrays are transferred to the motion array corresponding to a next lower pyramid level if they exceed the corresponding weighted motion values of said next lower pyramid level.

Abstract: A method of blink detection in a laser eye surgical system includes providing a topography measurement structure having a geometric marker. The method includes bringing the topography measurement structure into a position proximal to an eye such that light traveling from the geometric marker is capable of reflecting off a refractive structure of the eye of the patient, and also detecting the light reflected from the structure of the eye for a predetermined time period while the topography measurement structure is at the proximal position. The method further includes converting the light reflected from the surface of the eye into image data and analyzing the image data to determine whether light reflected from the geometric marker is present is in the reflected light, wherein if the geometric marker is determined not to be present, the patient is identified as having blinked during the predetermined time.

Abstract: An image processing apparatus is provided with a spatial information calculation unit for calculating spatial information of a subject, which is the information of an area in which the subject in an image is predicted to be present, a first area setting unit for setting a first area in the image based on the spatial information, a second area setting unit for setting a second area outside the first area, a first feature amount calculation unit for calculating a first feature amount of the first area, a second feature amount calculation unit for calculating a second feature amount of the second area, the second feature amount being a feature amount of the same type as the first feature amount, and an saliency calculation unit for calculating a degree of visual saliency of the subject.

Abstract: A method for detecting an object captured by a camera in an environmental region of a vehicle based on a temporal sequence of images of the environmental region is disclosed. An electronic evaluation device is used to determine at least one characteristic pixel of the object in a first image of the sequence of images, and the determined characteristic pixel is tracked in at least a second image and a flow vector each having a vertical component and a horizontal component is provided by the tracking. A first depth component, which is perpendicular to the vertical component and the horizontal component, is determined based on the vertical component, and a second depth component, perpendicular to the vertical component and the horizontal component, is determined based on the horizontal component. When the first and second depth component correspond within a tolerance range, a validated final depth component is provided.

Abstract: A saturation compensation method is provided. The method includes the steps of: retrieving an input image; performing at least one first image process on the input image to generate a first image; calculating saturation corresponding to each pixel in the input image; and performing a saturation compensation process on the first image according to the input image and the saturation to generate an output image.

Abstract: RGB image signals are inputted. B/G ratio is calculated based on B image signal and G image signal. G/R ratio is calculated based on the G image signal and R image signal. In a feature space formed by the B/G ratio and the G/R ratio, a third process for increasing a difference in saturation between coordinates in a first observation area and coordinates in a second observation area is performed. In the first observation area, coordinates corresponding to a portion infected with H. pylori are distributed. In the second observation area, coordinates corresponding to a portion in which eradication of the H. pylori infection has been successful are distributed.

Abstract: An image measurement apparatus according to the present invention includes: an image capturer obtaining an image of an object to be measured; a display displaying the image obtained by the image capturer; a measurer performing a measurement selected by an operator based on the image displayed on the display; a guidance display portion displaying an operation sequence for the measurement on the display; and a step display portion displaying, on the display, a pattern corresponding to an operation step in the operation sequence. The step display portion displays a step display for each of the operation steps in a circular form in operation order as the pattern.

Abstract: An apparatus and method for pixel hashing. For example, one embodiment of a method comprises: determining X and Y coordinates for a pixel block to be processed; performing a lookup in a data structure indexed based on the X and Y coordinates of the pixel block, the lookup identifying an entry in the data structure corresponding to the X and Y coordinates of the pixel block; reading information from the entry identifying an execution cluster to process the pixel block; and executing the pixel block by the execution cluster.

Abstract: This disclosure provides systems, methods and apparatus for packaging a display device, such as an electromechanical systems (EMS) device, with a seal. In one aspect, the display device includes a seal or sealant surrounding a display region of the display device in contact with and between two substrates. The sealant can include an epoxy matrix with a plurality of first spacers and a plurality of second spacers. In some implementations, the first spacers can be about the same size and define a substrate-to-substrate gap between the two substrates. In some implementations, each of the second spacers can be smaller than the first spacers, where the second spacers have a water vapor transmission rate less than the epoxy.

Abstract: An image processing device, an image processing system, and an image processing method according to the present invention include a mask determining unit that determines a vertical relation in an overlapping area when a video window and a still image window overlap. As a result of a determination, if it is decided that the still image window overlaps as an upper window, the mask process is performed, and if it is decided that the still image window overlaps as a lower window, the mask process is not performed, thereby allowing an appropriate composite image to be obtained regardless of the vertical relation in the overlapping area of the video window and the still image window.

Abstract: In a method and magnetic resonance apparatus for acquiring a high-resolution magnetic resonance image dataset of at least one limited body region having at least one anatomical structure of a patient, an overview image dataset is first acquired, using which an item of position information of the at least one anatomical structure is ascertained, the item of position information designating an exact position of the at least one anatomical structure and/or a relative position of the at least one anatomical structure relative to the reference body region. A high-resolution magnetic resonance image dataset of the anatomical structure is then created using the position information and the high-resolution magnetic resonance image dataset is evaluated. The evaluated high-resolution image data is then made available in electronic form.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for preventing overplotting for data visualization. An example method includes identifying a request to generate a chart including a plotting area indicating a set of data points to be displayed in the plotting area of the generated chart; determining that the requested chart will be unsuitable for display; dividing the plotting area into a plurality of bins, each having a shape configured to tessellate the plotting area in response to determining that the requested chart will be unsuitable for display; assigning each data point to one of the plurality of bins based on a position of each data point within the plotting area of the requested chart; and generating a modified chart including the plotting area of the requested chart including the plurality of bins each configured to indicate a number of data points are assigned to the particular bin.

Abstract: An energy management system is provided. The system includes an information collector which is configured to collect a first information in accordance with elapsing of time, including information on energy consumption of a subject of energy management or information on factors involved in a change of the energy consumption; and a display controller which is configured to collate a second information in which is included the first information, which is collected by the information collector, or specified energy performance for each second unit divided by one or a plurality of boundaries of an operating status which changes in accordance with the elapsing of time of the subject of energy management for each first unit which is divided by one or a plurality of physical or logical boundaries of the subject of energy management, based on the first information collected by the information collector to be the first unit and the second unit to cause the collated result to be displayed on a display.

Abstract: A graph display device includes a condition receiver, a time information display circuitry, an instruction receiver and a graph display circuitry. The condition receiver receives a condition for specifying at least one data item from graph data including a plurality of data items. The time information display circuitry displays time information relative to a time to display a graph based on the specified data item. The instruction receiver receives an instruction for starting display of the graph. The graph display circuitry displays the graph when the instruction is received.

Abstract: Representations based on polygons are utilized to convey comparison information between elements to a user. Placement polygons are constructed based on a number of elements to be analyzed. A portion of the polygon is used to represent an element. Smaller shapes representing consistency indicators placed on the placement polygon are used to represent comparison information of an element with other elements. Additionally, color or grayscale can be applied to the indicators to convey comparison information to a user. The representations are scalable to any number of elements.

Abstract: Methods and systems for data visualization in a datacenter are described herein. At least some illustrative embodiments comprise a method for monitoring a datacenter, comprising collecting a plurality of real-time data samples from a plurality of data sensors, generating a plurality of processed data values based at least in part on the plurality of real-time data samples, mapping each of the plurality of processed data values to one of a plurality of colors, and displaying the plurality of processed data values as regions of color on one or more two-dimensional (2-D) planes within a three-dimensional (3-D) space representing a datacenter.

Abstract: A virtual world generation engine and methods for generating virtual worlds from images collected from various sources, including crowdsourced images. A virtual world generation engine may obtain images (e.g., digital photographs, digital video frames, etc.) related to a particular real-world scene, combine the images using image processing techniques such as image stitching techniques to generate composite images representing a view of the scene, and generate models from the composite images. The models may be used in rendering video content representing virtual worlds generated from the collected images of real-world scenes; the video content may be streamed to client device(s). Obtaining the images, generating models, rendering video content from the models, and streaming the video content may be performed in response to user interactions with video content on the client device(s) to allow interactive exploration of the virtual worlds in real-time or near-real time.

Abstract: A method for operating a device having a screen, including: obtaining, by the device, a first background image of an environment behind the screen; obtaining, by the device, an electronic document (ED) having a text character with an initial text color; identifying, by the device, a pixel in the first background image associated with the text character; determining, by the device, a first final text color based on the initial text color and the pixel in the first background image; and displaying, by the device and on the screen, the ED with the text character in the first final text color.

Abstract: Input data may define an approach, model or theme for presenting text in a two-dimensional or a three-dimensional display environment. The input data may be analyzed to determine a legibility score of the text. The legibility score may be based on a number of factors including the characteristics of the text, characteristics of the environment, an aggregate contrast ratio derived from aggregate luminance values, a relative importance of legibility, other contextual information and/or combinations thereof. If the legibility score does not meet at least one threshold, one or more treatments may be applied to the input data. For example, a treatment may involve a modification of the text size, font, text position, text color and/or modifications to the display environment, to improve the legibility of the text and/or the overall aesthetics of the display environment and the text.

Abstract: A device including a display configured to display an object at an object display location on the display, the object being associated with information to be provided to a user, and to provide a reflected user image at a reflected user image location on the display; and a processor configured to detect the reflected user image location, and to determine the display location of the object based on the reflected user image location.

Abstract: An image rendering device that renders an image by combining multiple image objects that are represented by superimposing multiple image elements having a preset rendering order, wherein rendering is performed using the same rendering process by compiling image elements that satisfy a combination of rendering conditions, which allow for rendering using the same rendering process as the above-mentioned multiple image objects.

Abstract: A method for proactively creating a photobook includes identifying a group of images by a computer system and automatically creating a design for a photobook by the computer system without receiving a user's request for designing a photobook if the number of images in the group is determined to be within a predetermined range. Pages of the photobook incorporate a plurality of images in the group. The method further includes presenting the design of the photobook to a user for preview and receiving an order from the user for a physical manifestation of the photobook based on the design.

Abstract: A method of animation of surface deformation and wrinkling, such as on clothing, uses low-dimensional linear subspaces with temporally adapted bases to reduce computation. Full space simulation training data is used to construct a pool of low-dimensional bases across a pose space. For simulation, sets of basis vectors are selected based on the current pose of the character and the state of its clothing, using an adaptive scheme. Modifying the surface configuration comprises solving reduced system matrices with respect to the subspace of the adapted basis.