Abstract: An apparatus for detecting a camera tampering, includes: an image capturing unit to capture at least one image; an input-edge-image generating unit to extract an edge image from an object displayed in the captured image and generate an input edge image by using the extracted edge image; a reference-edge-image generating unit to generate a reference edge image from the input edge image; a stolen-edge-image generating unit configured to generate a stolen edge image by substracting the input edge image from the reference edge image; and a tampering determining unit to compare the input edge image with the reference edge image, compare the reference edge image with the stolen edge image, and determine whether or not a camera tampering has occurred, based on a first similarity and a second similarity.

Abstract: Example systems and methods of generating an indicator of osteoarthritis (OA) progression are described. Fractal dimension curves are generated for horizontal and vertical trabecular components associated with a region of interest of a joint image. A statistical model is used to model shapes of the fractal dimension curves and a predictor of OA progression is calculated based on shape parameters of the statistical model.

Abstract: A system for detecting a class of objects at a location, for example humans on a conveyor belt. A thermal camera may be used to detect objects and to detect the variance of the heat distribution of objects to classify them. Objects detected in an image from one camera may be detected in an image from another camera using geometric correction. A color camera may be used to detect the number of edges and the number of colors of an object to classify it. A color camera may be used with an upright human body classifier to detect humans in an area, and blobs corresponding to the detected humans may be tracked in a thermal or color camera image to detect if a human enters an adjacent forbidden area such as a conveyor belt.

Abstract: Embodiments of identifying multimedia objects based on multimedia fingerprints are provided. Query fingerprints are derived from a multimedia object according to differing fingerprint algorithms. For each fingerprint algorithm, decisions are calculated through at least one classifier corresponding to the fingerprint algorithm based on the query fingerprint and reference fingerprints, the reference fingerprints being derived from reference multimedia objects according to the same fingerprint algorithm. Each of the decisions indicates a possibility that the query fingerprint and the reference fingerprint are not derived from the same multimedia content. For each of the reference multimedia objects, a distance is calculated as a weighted sum of the decisions relating to the reference fingerprints. The multimedia object is identified as matching the reference multimedia object with the smallest distance less than a threshold.

Abstract: An image-stack viewer may switch between images in an image stack based on detected interactions with the images that are displayed in the viewer. In particular, a region-of-interest (ROI) in an image may be determined based on an interaction, and image characteristics of the ROI may be evaluated in two or more images in the image stack where the ROI best represents the evaluated characteristics.

Abstract: Embodiments of radiographic imaging systems and/or methods can monitor the state of calibration of a digital x-ray detector, the detector including a solid state sensor with a plurality of pixels, an optional scintillating screen and at least one embedded microprocessor. In one embodiment, a method can use a computer or the embedded microprocessor or both, for setting a calibration operating mode of the portable detector; taking a plurality of dark images in the calibration mode; determining a dark difference image between pixel readings between two of the plurality of dark images; identifying pixels in the dark difference image that differ by over a threshold amount from at least some surrounding pixels in the dark difference image as defective pixels.

Abstract: A method for controlling reflectivity in imaging system has steps of establishing a model describing the input image is a linear combination of a body reflection and an interface reflection; eliminating the minimum component of RGB for each pixel of the input image, and adding a mean of a sum of the minimum RGB chromaticity of the pixels to the input image to be modified; using a threshold strategy to identify at least one highlight region and at least one non-highlight region in input image; reconstructing color information of the at least one highlight region and obtaining a reconstructed image considering as the body reflection; evaluating the weights of the body reflection and the interface reflection; eliminating the interface reflection term of input image and considering the body reflection term as a reference image; and controlling the LCOS reflector to modify the input image according to the reference image.

Abstract: An object detection device includes an acquisition unit configured to acquire information indicating a temperature distribution, a storage unit configured to store background information indicating a temperature distribution when no target object exists, a detection unit configured to detect existence or absence of a target object, and an update unit configured to repeatedly update the background information. The update unit performs, with respect to a non-detection region, a first background updating process for the update of the background information based on the acquired information and performs, with respect to a detection region, a second background updating process for the update of the background information using a correction value.

Abstract: An embodiment is a method for detecting image features, the method including extracting a stripe from a digital image, the stripe including of a plurality of blocks; processing the plurality of blocks for localizing one or more keypoints; and detecting one or more image features based on the one or more localized keypoints.

Abstract: Methods and systems for using a position of a mobile device with an integrated display as an input to a video game or other presentation are presented. Embodiments include rendering an avatar on a mobile device such that it appears to overlay a competing user in the real world. Using the mobile device's position, view direction, and the other user's mobile device position, an avatar (or vehicle, etc.) is depicted at an apparently inertially stabilized location of the other user's mobile device or body. Some embodiments may estimate the other user's head and body positions and angles and reflect them in the avatar's gestures.

Abstract: In an object detecting method, an imaging condition of an image pickup unit is determined, a detecting method is selected based on the determined imaging condition, and at least one predetermined object is detected from an image picked up through the image pickup unit according to the selected detecting method.

Abstract: A method for using an assembled three-dimensional image to construct a three-dimensional model for determining a path through a lumen network to a target. The three-dimensional model is automatically registered to an actual location of a probe by tracking and recording the positions of the probe and continually adjusting the registration between the model and a display of the probe position. The registration algorithm becomes dynamic (elastic) as the probe approaches smaller lumens in the periphery of the network where movement has a bigger impact on the registration between the model and the probe display.

Abstract: A method, a system, a computer program and a computer program product, as well as a computer-readable storage medium, enables navigating between different medical images and localizing dedicated positions in the images. The medical images may be digital breast tomosynthesis (DBT) images, full-field digital mammography system (FFDM) images and magnetic resonance (MR) images. The process is based on a shape prediction algorithm and a computer-aided detection/diagnosis (CAD) algorithm in order to find a corresponding second position in the at least one second image.

Abstract: A method and system for generating a color-textured three-dimensional dental model is specific to a patient is disclosed. According to one embodiment, a three-dimensional dental model that is deficient of volumetric data for a three-dimensional anatomical landmark is obtained. A two-dimensional anatomical landmark of a two-dimensional intra-oral photograph that corresponds to the three-dimensional anatomical landmark of the three-dimensional dental model is identified. The two-dimensional intra-oral photograph is projected onto the three-dimensional dental model. The three-dimensional anatomical landmark is calculated from the projection of the two-dimensional anatomical landmark of the two-dimensional intra-oral photograph.

Abstract: A method and apparatus for an image processing system is provided. A first image and a second image in a sequence of images are registered to a reference image in the sequence of images to form a first registered image and a second registered image, respectively. A double differenced image is formed using the reference image, the first registered image, and the second registered image. A number of moving target signatures in the double differenced image is identified. A moving target signature in the number of moving target signatures comprises a spot of a first type and at least one spot of a second type adjacent to the spot of the first type.

Abstract: A device for determining a gesture includes a light emitting unit, an image sensing device and a processing circuit. The light emitting unit emits a light beam. The image sensing device captures an image of a hand reflecting the light beam. The processing circuit obtains the image and determine a gesture of the hand by performing an operation on the image; wherein the operation includes: selecting pixels in the image having a brightness greater than or equal to a brightness threshold; sorting the selected pixels; selecting a first predetermined percentage of pixels from the sorted pixels; dividing the adjacent pixels in the first predetermined percentage of pixels into a same group; and determining the gesture of the hand according to the number of groups of pixels. A method for determining a gesture and an operation method of the aforementioned device are also provided.

Abstract: Three-dimensional data is associated with a first imaging area including a left breast of a subject to be examined and a second imaging area including a right breast of the subject. An image displaying apparatus includes a specifying unit that specifies a nipple position of the left breast on the basis of positional information of pressure plates from the three-dimensional data. The image displaying apparatus also includes a generating unit that generates, by a maximum intensity projection, four projection images from the three-dimensional data. Two of the projection images respectively correspond to a plurality of divided areas of the left breast in the first imaging area divided on the basis of the specified nipple position. Two of the projection images respectively correspond to a plurality of divided areas of the right breast in the second imaging area. The four projection images are simultaneously displayed.

Abstract: An image processing device includes a normal light image acquisition section that acquires a normal light image that includes an object image and includes information within a wavelength band of white light, a special light image acquisition section that acquires a special light image that includes an object image and includes information within a specific wavelength band, a correction section that performs a correction process on the special light image, and a blending section that performs a blending process that blends the normal light image and a corrected special light image that is the special light image corrected by the correction section. The blending section blends a component G of the normal light image and a component G of the corrected special light image, and blends a component B of the normal light image and a component B of the corrected special light image.

Abstract: Systems and methods for initializing motion tracking of human hands are disclosed. One embodiment includes a processor; a reference camera; and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a base template. The hand tracking application configures the processor to: determine whether any pixels in a frame of video are part of a human hand, where a part of a human hand is identified by searching the frame of video data for a grouping of pixels that have image gradient orientations that match the edge features of one of the plurality of edge feature templates; track the motion of the part of the human hand visible in a sequence of frames of video; confirm that the tracked motion corresponds to an initialization gesture; and commence tracking the human hand as part of a gesture based interactive session.

Abstract: A motion estimation apparatus according to an aspect of the present invention is a motion estimation apparatus for estimating, using a set of multi-focus images which correspond to a single scene and have different focuses, motion for each of the first regions included in the scene, including: a cost value computing unit configured to compute, using the set of multi-focus images, for each of the first regions, a cost value indicating a difference between a blur amount of the first region and a standard blur amount determined for each of distances in a depth direction; and a motion estimation unit configured to estimate, using the cost value, the motion of the first region corresponding to the cost value.