Abstract: A technique for automatically generating a virtual model of a branched structure using as an input a plurality of images taken of the branched structure. The technique employs an algorithm that avoids inaccuracies associated with sub-optimal threshold settings by “patching” holes or leaks created due to the inherent inconsistencies with imaging technology. By “patching” the holes, the algorithm may continue to run using a more sensitive threshold value than was previously possible.

Abstract: Imaging is performed such that a flow-down path of the liquid from the nozzle arranged above a work to an upper surface of the work is included in an imaging field of view (Step S401). A total value of pixel values of pixels belonging to each pixel column composed of the pixels arranged in a line along a flow-down direction of the liquid in an evaluation region corresponding to the flow-down path out of an imaged image is calculated (Step S402-S403). Based on a change mode of the total value in an orthogonal direction orthogonal to the flow-down direction, presence or absence of the flow-down of the liquid is determined (Step S405-S407).

Abstract: Aspects of the present invention include an apparatus comprising a recognition unit configured to recognize real object in an image. The apparatus may further comprise a determining unit configured to determine a stability indicator indicating a stability of the recognition, and a display control unit configured to modify a display of a virtual object according to the stability indicator.

Abstract: Methods and systems are provided for boosting the contrast levels in an image reconstructed from projection data acquired at a single energy. In one embodiment, a method comprises modifying projection data corresponding to a material based on an absorption behavior of the material at a selected energy, wherein the projection data is acquired at an energy higher than the selected energy. In this way, contrast levels may be enhanced in an image reconstructed from projection data acquired at a typical single energy as though the image were reconstructed from projection data acquired at a lower energy.

Abstract: The present invention relates to a method for assessing the presence and/or the severity of a lesion in an organ or tissue of a subject through automated analysis of at least one image of said organ or tissue, wherein said organ or tissue is preferably a liver organ or liver tissue, comprising the calculation of a score combining descriptors of said image, wherein said method comprises the steps of: a. measuring on said at least one image at least two descriptors of said at least one image; b. mathematically combining said at least two descriptors in a score; and c. assessing the presence and/or the severity of a lesion in the organ or tissue based on the value of the score calculated at step (b).

Abstract: A computer-implemented method for detecting real estate vacancies using satellite imagery is described. The method is implemented using a computing device in communication with a memory. The method includes receiving, by the computing device, a first location identifier that identifies a first real property location. The method additionally includes retrieving, by the computing device, a first satellite image of the first real property location. Additionally, the method includes retrieving, by the computing device, a second satellite image of the first real property location. The method additionally includes generating, by the computing device, a compound image of the first real property location by overlaying the second satellite image over the first satellite image. Additionally, the method includes providing the compound image to a user interface, wherein the compound image provides an indication of one or more vacant portions of the first real property location.

Abstract: Techniques for predicting and detecting produce quality may be provided. For example, visual or infrared characteristics of a produce item (e.g., skin, shape, wrinkles, and other characteristics of an apple, pepper, etc.) may be compared with ripeness characteristics of the type of produce item (e.g., other apples or peppers). The ripeness characteristics may correspond with the type of produce item at different stages of ripeness along a ripeness regression (e.g., a timeline of the produce item from raw to rotten). One or more ripeness scores of the produce item may be determined along a timeline (e.g., raw at day 1, rotten at day 10, etc.), so that when a user requests a produce item corresponding with a particular ripeness score, the produce item can be provided to the user based in part on the visual or infrared characteristics of the produce item and ripeness regression.

Abstract: The present invention proposes a method for processing an image with depth information and a computer program product thereof, wherein a filtering template is used to extract a gesture region and filter the image, and wherein the hue values of the pixels of the current gesture region are used to modify the self-adaptive thresholds of the filtering template, and wherein the size of the filtering template at the next time point is modified according to the depth at the current time point and the depth at the former time point.

Abstract: An example information processing system performs a process based on a captured image captured by an image-capturing device. The information processing system obtains information regarding brightness of each pixel based on the captured image. The information processing device calculates position information of the captured image, the position information representing deviation obtained with the brightness of each pixel being used as a weight. The position information is calculated for a predetermined area of the captured image. The information processing device performs a predetermined information process based on the position information.

Abstract: The present invention relates to a monitoring method and a monitoring apparatus using a camera. According to an embodiment of the present invention, a monitoring method using a camera includes receiving a photographed input image from the camera; detecting an object existing in the input image and positional information of the object; generating a corrected image by correcting a distorted area of the input image; and generating a synthesized image by synthesizing alarm display information which is generated on the basis of the object and the positional information, with the corrected image, and outputting the synthesized image through a display.

Abstract: There are many advantages to implementing a watermark-based system using dedicated hardware, rather than using software executing on a general purpose processor. These include higher speed and lower power consumption. However, hardware implementations incur substantial design and development costs. Moreover, because each watermarking application has its own design constraints and parameters, it has not been cost-effective to develop a hardware chip design for each, since such chips would typically not be manufactured in volumes sufficient to bring per-unit costs down to an acceptable level. The present technology provides various techniques for making watermarking hardware adaptable, so that a single chip can serve multiple diverse watermark applications. By so-doing, the advantages of hardware implementation are made available where it was formerly cost-prohibitive, thereby enhancing operation of a great variety of watermark-based systems.

Abstract: An information processing method includes: acquiring setting pseudo multipole information on a pseudo multipole (S10), the setting pseudo multipole information being set such that color information on poles p1 and p2 is related to color information on an object 2, the poles corresponding to a plurality of points in an image of a single predetermined frame 20; specifying a position of the pseudo multipole in an initial frame and seeking an image of a single frame in the video for the pseudo multipole (S14), the pseudo multipole having poles whose colors conform to colors in the color information on the poles in the acquired setting pseudo multipole information, a distance between the poles of the pseudo multipole being equal to or less than a predetermined distance; specifying a position of the found pseudo multipole in the image of the single frame of the video (S17); and tracking the object on the basis of the position of the pseudo multipole found from the image of the single frame and the position of the p

Abstract: Systems and methods are disclosed for computer vision and object detection by extracting tracks of moving objects on a set of video sequences; selecting a subset of tracks for training; rendering a composite of each selected track into a single image; labeling tracks using the rendered images; training a track classifier by supervised machine learning using the labeled tracks; applying the trained track classifier to the remainder of the tracks; and selecting tracks classified with a low confidence by the classifier.

Abstract: Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Abstract: A computer implemented method for performing bone segmentation in imaging data of a section of a body structure is provided. The method includes: Obtaining the imaging data including a plurality of 2D images of the section of the body structure; and performing a multiphase local-based hybrid level set segmentation on at least a subset of the plurality of 2D images by minimizing an energy functional including a local-based edge term and a local-based region term computed locally inside a local neighborhood centered at each pixel of each one of the 2D images on which the multiphase local-based hybrid level set segmentation is performed, the local neighborhood being defined by a Gaussian kernel whose size is determined by a scale parameter (?).

Abstract: The present disclosure relate generally to image signal processing, color science and signal encoding. Digital watermarking can be applied to color image data through use of a luminance contrast sensitivity function and a chrominance contrast sensitive function. Of course, other features, combinations and claims are disclosed as well.

Abstract: Pedestrian detection and counting for traffic intersection control analyzes characteristics of a field of view of a traffic detection zone to determine a location and size of a pedestrian area, and applies protocols for evaluating pixel content in the field of view to identify individual pedestrians. The location and size of a pedestrian area is determined based either on locations of vehicle and bicycle detection areas or on movement of various objects within the field of view. Automatic pedestrian speed calibration with a region of interest for pedestrian detection is accomplished using lane and other intersection markings in the field of view. Detection and counting further includes identifying a presence, volume, velocity and trajectory of pedestrians in the pedestrian area of the traffic detection zone.

Abstract: Systems and methods of automatic detection of a facial feature are disclosed. Moreover, methods and systems of yaw estimation of a human head based on a geometrical model are also disclosed.

Abstract: The present disclosure relates to systems and processes for providing vector map data for generating a view of a map in a mapping application. In one example process, a request for a vector map sub-tile can be received by a map server. The map server can identify a pre-generated vector map tile corresponding to the requested vector map sub-tile and can generate the requested vector map sub-tile from the identified vector map tile by dividing the vector map tile into two or more vector map sub-tiles. In some examples, dividing the vector map tile into multiple vector map sub-tiles can include identifying features and attributes of the vector map tile that should be included in the requested vector map sub-tile and generating the requested vector map sub-tile to include these features and attributes. The map server can then transmit the requested vector map sub-tile to the requesting electronic device.

Abstract: A system for automated assessments is provided. The system includes a processing device and a memory device. The memory device stores instructions that when executed by the processing device may result in receiving a video stream including image frames from an imaging source. Image data from one or more of the image frames can be compared with an image profile database to determine whether at least one item in one or more of the image frames is identifiable. A lookup operation can be initiated in a secondary data source to determine one or more item attributes of the one or more identified items. The video stream can be modified to add an item identifier for each of the identified items to the video stream as an annotated video. A record can be stored of the one or more item attributes of the identified items in the annotated video.