Abstract: An image identification method and an image identification device are provided. The method comprises acquiring a hand feature region within a sight from a first view by skin color detection; acquiring a feature and a position of a tip of a finger from the hand feature region by performing a pattern recognition for a morphological feature of a stretched hand; recording an interframe displacement of a feature point of the tip of the finger when the tip of the finger delimits a periphery of a target object to obtain a delimiting trajectory from the interframe displacement, closing the delimiting trajectory to form a full-perimeter geometry; projecting the full-perimeter geometry on a plane where a direction of the sight is perpendicular to a plane where the target object is located to obtain a projection region, performing an image identification using the projection region as an identification region of the target object.

Abstract: A partial image extracting unit extracts images of a predetermined size and constant magnification from a tissue region. A mask generating unit generates a mask for removing a region not intended for measurement from the tissue region for each extracted image. A complete mask generating unit generates a temporary complete mask in which the masks generated for each of the images are integrated together, and generates a complete mask in which close portions among unmasked portions in the temporary complete mask are unified into one or more target regions. A measuring unit measures information pertaining to an object to be measured included in the image, and this information is measured for each of the images extracted by the partial image extracting unit. A region information calculating unit calculates, for each target region, information pertaining to the object to be measured from the measured information and from the complete mask.

Abstract: Various embodiments relate to a method (700) and system for geo-referencing at least one sensor image. The method comprises the steps of: generating at least one sensor image of a first scene with at least one sensor, accessing a 3D model of the environment comprising geo-coded 3D coordinate data and related to at least one second scene, said second scene encompassing said first scene, matching the sensor image with the 3D model find a section of the 3D model where there is a match between the first and the second scenes, geo-referencing the sensor image based on the geo-coded 3D coordinate data of the found section of the 3D model, and determining a measure related to an uncertainty in the matching between the sensor image and the 3D model.

Abstract: Method for applying super-resolution to images captured by a camera device of a vehicle includes receiving a plurality of image frames captured by the camera device. For each image frame, a region of interest is identified within the image frame requiring resolution related to detail per pixel to be increased. Spatially-implemented super-resolution is applied to the region of interest within each image to enhance image sharpness within the region of interest.

Abstract: In a method and a system for processing medical image data in a cloud system, image data acquired at a modality are compressed via an incremental compression and transferred in compressed form to a decompressor of the cloud system. The decompressor relays the decompression result to different processing units for incremental processor in order to provide a result that is then relayed to the modality and/or to additional computer-based instances.

Abstract: A diagnosis imaging apparatus and an operation method thereof are provided. A diagnosis imaging apparatus includes: an image processing apparatus for detecting a first point and a second point on a heart wall of a valve of interest in a 3D volume data of a heart of a subject, rotating the 3D volume data to make a virtual line connecting the first point and the second point be parallel with a datum plane, and acquiring a 3D standard view of the valve of interest based on the rotated 3D volume data; and a display apparatus for displaying the 3D standard view.

Abstract: Techniques for performing accurate and automatic head pose estimation are disclosed. According to one aspect of the techniques, head pose estimation is integrated with a scale-invariant head tracking method along with facial features detected from a located head in images. Thus the head pose estimation works efficiently even when there are large translational movements resulting from the head motion. Various computation techniques are used to optimize the process of estimation so that the head pose estimation can be applied to control one or more objects in a virtual environment and virtual character gaze control.

Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.

Abstract: A method for determining a pose of an object in a scene by determining a set of scene features from data acquired of the scene and matching the scene features to model features to generate weighted candidate poses when the scene feature matches one of the model features, wherein the weight of the candidate pose is proportional to the model weight. Then, the pose of the object is determined from the candidate poses based on the weights.

Abstract: An editing apparatus includes at least a processor and a memory that cooperate to function as a display control unit to cause a display device to display information for editing. A specifying unit specifies a processing area of the displayed information for editing the information in accordance with a user's operation. A determining unit determines an end point based on the user's operation for specifying the processing area of the displayed information. A setting unit sets an instruction portion, on the information displayed on the display device, for providing an instruction to select a type of editing to be performed on the specified area. The instruction portion is set on a position based on the determined end point. An editing unit executes the type of editing selected via the instruction portion, in accordance with a user's operation on the specified processing area of the displayed information.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: A system and method for generating a road network based on satellite imagery. Plural pixels corresponding to satellite imagery of a region are obtained. For each of the plural pixels, a probability value corresponding to the probability that the pixel belongs within the road network is calculated. A grayscale image is formed based on the calculated probability values. Plural curves are produced based on the grayscale image, wherein the producing of each curve includes positioning a shape on the grayscale image so that an average intensity of the grayscale image covered by the shape exceeds a preset threshold, moving the shape about the grayscale image while the average intensity is maintained, and tracking the movement of the shape to produce the curve. A planar-connected graph is generated by connecting at least portions of the plural curves. The planar-connected graph corresponds to the road network.

Abstract: A method of processing an image is provided. The method includes generating a tissue emphasis image by emphasizing a predetermined tissue of at least two radiation images of different energy bands, and generating a diagnostic image by combining at least one of the at least two radiation images of different energy bands and the tissue emphasis image.

Abstract: The invention relates to a method and a device for recognizing a pulsing light source, in which a sequence of individual images is acquired with a light sensitive sensor. In an evaluation unit, all or at least some of the picture points of each individual image are examined with regard to at least one predefined feature. A gray value of any picture point depends on two or more charge levels of at least one of the photodetectors of the sensor corresponding to the picture point at the ends of at least two integration intervals for the picture point. The at least two integration intervals for said picture point have different lengths. The examination comprises an examination of the picture points as to whether the picture points have gray values in a defined vicinity of one of at least one predefined gray value.

Abstract: An imaging system includes: a transmit side that generates a plurality of switched beam laser signals and scans each of the switched beam laser signals into a respective field of view by two polygon facets simultaneously of a polygonal mirror, the respective fields of view overlapping in at least a portion thereof; and a receive side that receives a plurality of reflections of the laser signals, detects them, and captures them as three-dimensional imagery data. A method includes: generating a plurality of switched beam laser signals from a single laser signal; scanning each of the switched beam laser signals in seriatim into a respective field of view by each of two polygonal facets of a polygonal mirror, the respective fields of view overlapping in at least a portion thereof; receiving reflections of the switched beam laser signals; and generating a set of three-dimensional imagery from the received reflections.

Abstract: A method for determining an Eyes-Off-The-Road (EOTR) condition exists includes capturing image data corresponding to a driver from a monocular camera device. A detection of whether the driver is wearing eye glasses based on the image data using an eye glasses classifier. When it is detected that the driver is wearing eye glasses, a driver face location is detected from the captured image data and it is determined whether the EOTR condition exists based on the driver face location using an EOTR classifier.

Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Abstract: An apparatus, method, and system for searching for images and image-related information are described in which the image information search system includes: an image reproducing apparatus reproducing or capturing an image; and an image/information search server searching for image/information associated with the captured image. In the image and image-information search apparatus and method, a user can easily acquire his or her desired image file or image-related information while he or she is watching images, even when he or she does not know any detailed identification information associated with his or her desired image.

Abstract: Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node.

Abstract: An apparatus and method of estimating a three-dimensional (3D) position and orientation based on a sensor fusion process. The method of estimating the 3D position and orientation may include determining a position of a marker in a two-dimensional (2D) image, determining a depth of a position in a depth image corresponding to the position of the marker in the 2D image to be a depth of the marker, estimating a 3D position of the marker calculated based on the depth of the marker as a marker-based position of a remote apparatus, estimating an inertia-based position and an inertia-based orientation by receiving inertial information associated with the remote apparatus, estimating a fused position based on a weighted sum of the marker-based position and the inertia-based position, and outputting the fused position and the inertia-based orientation.