Abstract: Methods, systems, apparatus, and computer program products, including accessing first data that defines a first image, generate a first value by applying a mathematical function to the first data, generating a second image from the first data of the first image, the second image being a version of the first image and defined by second data that is different from the first data of the first image, associating the first value of the first image with the second image, generating a third image from the second data of the second image, the third image being a version of the second image and defined by third data that is different from the second data of the second image, and associating the first value of the first image with the third image.

Abstract: Embodiments of the present invention provide a method of determining a location at which a lane divider marking changes type, comprising determining (350) a first type of lane divider (120) marking based upon a frequency spectrum determined by Fourier analysis of first image data (431) corresponding to a first area, determining (350) a second type of lane divider (130) marking based upon a frequency spectrum determined by Fourier analysis of second image data (432) corresponding to a second area, and determining (360) a geographic location at which the lane divider marking changes type according to a comparison of the first and second types (120, 130) of lane divider marking.

Abstract: A climate control unit is controlled by constructing background and foreground models of an environment from images acquired of the environment by a camera. The background model represents the environment when unoccupied, and there is one foreground model for each person in the environment. A 2D location of each person in the environment is determined using the background and foreground models. A 3D location of each person is determined using the 2D locations and inferences made from the images. The controlling of the climate control unit is according to the 3D locations.

Abstract: In a stereoscopic pair of images, global homography at the image level is applied to feature points extracted from connected components (CC) to identify corresponding CC's and feature points, and to discard any CC's that do not have a corresponding pair in the stereoscopic pair of images. Local homography at the CC level is then applied to individual footprint areas of the previously identified paired CC to further clean feature point correspondence. Any CC or feature point or pixel within a paired CC footprint not satisfying local homography constraint is discarded. A correspondence is also extrapolated between unknown pixels within a paired CC footprint using a weighing mechanism and the unknown pixel's surrounding pixels that do have a known correspondence. This provides a dense correspondence of pixels, or feature points, which is then used to create a dense 3D point cloud of identified objects within a 3D space.

Abstract: A system and method for performing a depth estimation procedure utilizing defocused pillbox images includes a camera device with a sensor device for capturing pillbox blur images of a photographic target. The camera utilizes a depth estimator for performing a Gaussianization procedure that transforms the pillbox blur images into corresponding Gaussian blur images. The Gaussianization procedure is performed by convolving the pillbox blur images with a Gaussianization kernel to generate the corresponding Gaussian blur images. The depth estimator then utilizes the Gaussian blur images for effectively performing the depth estimation procedure.

Abstract: A participant in a motion capture environment, such as a motion capture simulation, can utilize or interact with physical objects disposed in the environment, for example weapons, sporting goods, and wands. Markers attached to the physical objects can track movement of the objects in the motion capture environment as well as changes in operational state associated with participant interaction or usage. Markers on an object can be passive, active, or a combination of active and passive. A change in separation between two passive or active markers on a mechanized physical object can indicate that a participant has engaged a mechanism of the object, for example firing a semiautomatic weapon. One or more active markers can emit a pattern of light that is modulated spatially or temporally to report operational state of an object, such as when a participant has fired the weapon or turned a weapon safety off or on.

Abstract: Disclosed are a parking assist apparatus, a parking assist method capable of more accurately recognizing a parking space and identifying and recognizing obstacles using a three-dimensional flash Lidar and a parking assist system using the same. The parking assist apparatus according to an exemplary embodiment of the present invention includes: an information unit acquiring information collected by using a three-dimensional flash Lidar; and a determination unit determining at least any one of a parking space and presence and absence of obstacles using the information acquired by the information unit.

Abstract: A method to process medical image data has the following features. Immediately compressed raw data are acquired by an imaging medical technology apparatus. The compressed raw data are stored. In addition to the compressed raw data, processing data are stored which are provided to generate output data from the compressed raw data, wherein the file size of the compressed raw data and the processing data in total is less than the file size of the output data.

Abstract: There are provided a characteristic obtaining unit configured to obtain a subject characteristic including a characteristic of a subject, an image processing unit configured to generate a duplicate subject image by performing an image process to an image of the subject according to the subject characteristic obtained by the characteristic obtaining unit, and a learning unit configured to learn a matching dictionary by using the duplicate subject image generated by the image processing unit. Thus, it is possible to reduce the number of subject images necessary for the learning.

Abstract: A method for image processing includes determining edge pixels of a model image and determining features for the edge pixels of the model image. The image processing includes determining edge pixels of an input image and determining features for the edge pixels of the input image. The system matches the features of the model image with the features of the input image to determine candidate locations of an object within the input image.

Abstract: A method, apparatus and computer program product are therefore provided in order to provide an efficient, aesthetically pleasing display of points of interest in an AR interface that maximizes usability and display efficiency. In this regard, the method, apparatus and computer program product may utilize a mobile terminal to perform pre-processing of interface elements to reduce display clutter and increase efficiency of display processing. Interface elements may be projected onto a cylindrical surface to locate the interface elements relative to the mobile terminal. Interface elements may be analyzed in the projection to identify interface elements that are proximate to one another. Data indicating that particular interface elements are proximate to one another may be stored in a data structure for reference prior to displaying of the interface elements in an AR interface.

Abstract: Disclosed is a method wherein a template for template matching is created with high accuracy and high efficiency. With respect to each individual pattern constituting a basic circuit, pattern information regarding a plurality of layers in a semiconductor device is stored in a library. On the basis of the designation of the position and the layer, pattern information regarding the designated position and layer is extracted from the pattern information stored in the library. A template is created on the basis of the extracted pattern information.

Abstract: An image recognition apparatus includes an extraction unit configured to extract a feature quantity for each local area from an input image, a conversion unit configured to convert the feature quantity extracted by the extraction unit into a feature quantity indicating a degree with respect to an attribute for each local area, a verification unit configured to verify the feature quantity converted by the conversion unit against a feature quantity of a registered image, and an identification unit configured to identify whether the input image is identical to the registered image by integrating the verification result for each local area acquired by the verification unit.

Abstract: An edge image generator in an image processing determining apparatus extracts multiple edges from an image included in display data output from an external device, such as a terminal unit, a navigation unit, or an imaging unit. Then, the edge image generator selects certain edges from the extracted multiple edges by a certain selection method matched with characteristics of the external device to generate an edge image.

Abstract: Local features of retrieved images are identified and for each image, an ordered bag-of-features is created that describes the features of the image. Spatial relationships between features of an image are captured in histogram descriptors created from linear or circular projections. Using the histogram descriptors, ordered bags-of-features describing the features of the images are developed. Calibrating the ordered bags-of-features to account for spatial variance leads to spatial bags-of-features.

Abstract: According to one embodiment, a time series information acquisition unit acquires time series information of a position or a size of a specific part of a user's body. An operation segment detection unit detects a movement direction of the specific part from the time series information, and detects a plurality of operation segments each segmented by two of a start point, a turning point and an end point of the movement direction. A recognition unit specifies a first operation segment to be recognized and a second operation segment following the first operation segment among the plurality of operation segments, and recognizes a motion of the specific part in the first operation segment by using a first feature extracted from the time series information of the first operation segment and a second feature extracted from the time series information of the second operation segment.

Abstract: The REMOTE DEPOSIT IMAGE INSPECTION APPARATUSES, METHODS AND SYSTEMS (hereinafter “ImageInspector”) transforms uploaded check images and check deposit information inputs via ImageInspector components image into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the ImageInspector may capture images of the check and send them to a financial institution for deposit processing.

Abstract: A method for detecting a bridge connecting failure to detect a bridge shorting terminals of a component includes acquiring a 2D image and height-based information through lights irradiated on a board, acquiring rotation information of the component using at least one of the 2D image and the height-based information, establishing an inspection region for detection of the bridge connecting failure using the rotation information, extracting a first bridge region within the inspection region using the 2D image, extracting a second bridge region within the inspection region using the height-based information, and judging whether the bridge connecting failure of the component occurs by using at least one of the first and second bridge regions. Thus, the method may inspect more precisely the bridge connecting failure through the first bridge region extracted from the 2D image and the second bridge region extracted from the height-based information.

Abstract: An image processing apparatus for applying film grain effects on an image of received image data includes a generating unit configured to generate, on the basis of pixel values randomly read from grain data including a plurality of pixel values, a basic grain image having a certain size larger than the grain data; a resizing unit configured to resize the basic grain image generated by the generating unit to have the same size as the received image data; and a combining unit configured to combine the basic grain image resized by the resizing unit with the received image data.

Abstract: According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.