Abstract: A displacement detection method includes the steps of: capturing a first frame and a second frame; selecting a first block with a predetermined size in the first frame and selecting a second block with the predetermined size in the second frame; determining a displacement according to the first block and the second block; comparing the displacement with at least one threshold; and adjusting the predetermined size according to a comparison result of comparing the displacement and the threshold. The present invention further provides a displacement detection apparatus.

Abstract: A method of controlling a mobile apparatus includes acquiring a first original image and a second original image, extracting a first feature point of the first original image and a second feature point of the second original image, generating a first blurring image and a second blurring image by blurring the first original image and the second original image, respectively, calculating a similarity between at least two images of the first original image, the second original image, the first blurring image, and the second blurring image, determining a change in scale of the second original image based on the calculated similarity, and controlling at least one of an object recognition and a position recognition by matching the second feature point of the second original image to the first feature point of the first original image based on the change in scale.

Abstract: Described embodiments include a system, method, and computer program product. A described system includes a receiver circuit that receives at least two medical images that each includes a respective region of interest of a mammalian body part. The receiver circuit also receives at least two reference images that each includes a respective landmark subsurface feature of the mammalian body part. Each landmark subsurface feature has a respective spatial relationship to a respective region of interest. The system includes a coordinate analysis circuit configured to determine a common frame of reference at least partially based on a landmark subsurface feature included in a reference image. The system includes a registration circuit configured to register the respective regions of interest. The registration is based on the determined common frame of reference. The system includes a computer-readable media configured to maintain informational data corresponding to the respective registered regions of interest.

Abstract: There is provided an MRI apparatus and a blood vessel image capturing method capable of improving the separability of an artery and a vein. In order to do so, using an imaging sequence obtained by combining a first sequence portion for measuring a first echo signal used for acquisition of a blood vessel image of a desired region of an object with a second sequence portion for measuring a second echo signal used for acquisition of blood flow information of the object, the object is imaged by one examination scan. In addition, blood flow information is acquired using the second echo signal, and at least one of an artery and a vein is extracted in an image, which is reconstructed using the first echo signal, using the acquired blood flow information.

Abstract: A method and apparatus for analyzing white blood cells (WBCs) within a whole blood sample quiescently residing within a chamber is provided. The chamber is defined by at least one transparent panel, and the whole blood sample includes at least one colorant operable to differentially identify at least one WBC type from another WBC type within the sample. The method includes the steps of: a) creating at least one image of the sample quiescently residing within the chamber; b) identifying portions of the sample image, with each portion representing a single WBC; c) compressing the sample image portions using a first compression algorithm; and d) one of compressing a remainder of the sample image not included in the portions using a second compression algorithm, or discarding the remainder.

Abstract: Improved face tracking is provided during determination of an image by an imaging device using a low power face tracking unit. In one embodiment, image data associated with a frame and one or more face detection windows from a face detection unit may be received by the face tracking unit. The face detection windows are associated with the image data of the frame. A face list may be determined based on the face detection windows and one or more faces may be selected from the face list to generate an output face list. The output face list may then be provided to a processor of an imaging device for the detection of an image based on at least one of coordinate and scale values of the one or more faces on the output face list.

Abstract: A method and system is disclosed for tracking object clusters. The method comprises obtaining a first sensor image and a second sensor image. Angular measurements between objects of the first sensor image are determined. Angular measurements between objects of the second sensor image are also determined. Angular measurements from the first sensor image are compared to angular measurements of the second image, and correlated object clusters are identified. The sensor system includes a command and decision unit that receives a first sensor image and a second sensor image. The command and decision unit determines angular measurements for the first sensor image, and determines angular measurements for the second sensor image. The command and decision unit compares the angular measurements for the first sensor image to the angular measurements for the second sensor image, and identifies correlated object clusters based on the comparison.

Abstract: The present invention concerns a method for capturing an image of an iris free of specularities from a spectacle-wearing user for use in an iris recognition identification system, which includes an illumination source and an image capture device. The method comprises illuminating the user's eye from a first illumination position associated with a first optical path, and capturing a first image of the eye; and determining if the first image comprises a specular image in a first region of interest, the specular image being formed by light reflected from the spectacles. If a specular image is present, the method further comprises illuminating the eye from a second illumination position associated with a second optical path different to the first optical path, such that the specular image is shifted to a second region; and capturing a second image of the eye.

Abstract: A computer program product tangibly embodied in a computer-readable storage medium includes instructions that when executed by a processor perform a method. The method includes identifying a frame of a video sequence, transforming a model into an initial guess for how the region appears in the frame, performing an exhaustive search of the frame, performing a plurality of optimization procedures, wherein at least one additional model parameter is taken into account as each subsequent optimization procedure is initiated. A system includes a computer readable storage medium, a graphical user interface, an input device, a model for texture and shape of the region, the model generated using the video sequence and stored in the computer readable storage medium, and a solver component.

Abstract: Apparatus or techniques can include obtaining information indicative of energy, such as ultrasonic energy, reflected from a tissue region, forming respective input matrices representative of the obtained information, the input matrices respectively comprising an ensemble-of-interest and at least one ensemble corresponding to a spatial location nearby a spatial location corresponding to the ensemble-of-interest, performing respective singular value decompositions on the respective input matrices to obtain respective sets of singular values corresponding to respective sets of singular vectors, obtaining respective output matrices including weighting a respective projection of a respective ensemble-of-interest onto at least one of the singular vectors included in a respective set of singular vectors, and, using the respective output matrices, at least one of determining a characteristic, or constructing an image, of at least a portion of the tissue region.

Abstract: A method is provided for calculating a weight ratio by quality grade using a grain appearance quality grade discrimination device. The method involves the steps of imaging a plurality of grains; discriminating the quality grade of the grains on the basis of data of the imaged grains; tallying, by quality grade, the number of pixels in said data of the imaged grains with regards to the grains whose quality grade has been discriminated; multiplying the number of pixels tallied by quality grade by a weight conversion coefficient per pixel predetermined by quality grade, and thereby converting said number of pixels into a weight by quality grade; and calculating the weight ratio by quality grade of the grains on the basis of the weight by quality grade.

Abstract: A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.

Abstract: Various embodiments are disclosed for performing object tracking. One embodiment is a system for tracking an object in a plurality of frames, comprising a probability map generator configured to generate a probability map by estimating probability values of pixels in the frame, wherein the probability of each pixel corresponds to a likelihood of the pixel being located within the object. The system further comprises a contour model generator configured to identify a contour model of the object based on a temporal prediction method, a contour weighting map generator configured to derive a contour weighting map based on thickness characteristics of the contour model, a tracking refinement module configured to refine the probability map according to weight values specified in the contour weighting map, and an object tracker configured to track a location of the object within the plurality of frames based on the refined probability map.

Abstract: A system and method for contactless handprint capture is disclosed that includes an image capture device to capture whole handprint images of a subject hand at each of a plurality of different focal distances, with the image capture device including an imaging camera and an electro-optics arrangement having a plurality of light modulating elements and polarization sensitive optical elements having differing optical path lengths based on polarization states. A control system is coupled to the image capture device to cause the device to capture the handprint images at each of the different focal distances, with each handprint image having a depth-of-focus that overlaps with a depth-of-focus of handprint images at adjacent focal distances such that redundant handprint image data is captured. The control system registers each handprint image with positional data and creates a composite handprint image from the handprint images captured at the different focal distances.

Abstract: A storage unit stores data of a plurality of previous images of a plurality of regions generated during a previous catheter procedure. A route map generating unit arranges a plurality of first catheter images or blood vessel images included in the plurality of previous images according to the positional relationship between the plurality of regions to generate a route map indicating the distribution of the plurality of first catheter images or blood vessel images. A specifying unit specifies a specific portion of a second catheter image included in a current image generated during a current catheter procedure. A calculating unit calculates the position of the specified specific portion on the route map on the basis of the positional relationship between the current image and the previous image. A display unit displays a specific previous image corresponding to the calculated position.

Abstract: Vehicle includes a structure defining an interior space for containing or designed to contain one or more objects, and an arrangement mounted on, joined or coupled to the structure for determining whether an object is present in the interior space, or the presence of multiple objects. One arrangement includes at least one optical imaging device arranged to receive images of the interior space defined by the structure, and a processor coupled to the optical imaging device(s) and arranged to determine whether one or more objects are present in the interior space and when one or more objects are determined to be present, to obtain information about the object or objects. The processor is preferably arranged to distinguish between different objects and/or different arrangements of objects. A related method for obtaining information about objects in interior spaces of vehicles is also disclosed.

Abstract: There is provided an image processing system in which an image capture apparatus and an image processing apparatus are connected to each other via a network. When a likelihood indicating the probability that a detection target object detected from a captured image is a predetermined type of object does not meet a designated criterion, the image capture apparatus generates tentative object information for the detection target object, and transmits it to the image processing apparatus. The image processing apparatus detects, from detection targets designated by the tentative object information, a detection target as the predetermined type of object.

Abstract: The invention relates to a method and an object detection device for analyzing objects in the environment and/or scenes in the environment. The object detection device includes a data processing and/or evaluation device. In the data processing and/or evaluation device, image data (xt) is evaluated on the basis of a Conditional Random Field (CRF) model and the CRF model provides additional object nodes (otn) which take into account information from an object detector.

Abstract: A system and method for analyzing and visualizing a local feature of interest includes access of a clinical image dataset comprising clinical image data acquired from a patient, identification of a region of interest (ROI) from the clinical image dataset, and extraction of at least one local feature corresponding to the ROI. The system and method also include definition of a local feature dataset comprising data representing at least one local feature, access of a pre-computed reference dataset comprising image data representing an expected value of the at least one identified derived characteristic of interest, and comparison of the characteristic dataset to the pre-computed reference dataset. Further, the system and method include calculation of at least one deviation metric from the comparison and output of a visualization of the at least one deviation metric.

Abstract: The traffic line creation device which creates the traffic line representing a motion trace of the tracking target comprising: an object detection unit which detects the tracking target from an image frame to create detection result information including a detected area of the tracking target; a state determination unit which determines a state of the tracking target based on the detection result information; a reference point creation unit which creates a reference point of the tracking target by using the detected area with a method corresponding to the state determined at the state determination unit; and a traffic line creation unit which creates the traffic line representing a motion trace of the tracking target by connecting a plurality of the reference points created for a plurality of the image frames.