Abstract: A medical image processing apparatus according to a present embodiment includes processing circuitry. The processing circuitry is configured to: acquire a subject image relating to a subject; acquire a standard image indicating a morphological structure of a human body and sections of a morphological structure from a memory which stores each standard image in association with sections of a morphological structure; set a comparison target portion of the subject image based on the subject image; set a comparison target portion of the standard image based on a comparison between the subject image and the standard image; specify a section in the comparison target portion of the subject image based on a comparison between the comparison target portion of the subject image and the comparison target portion of the standard image; and output the subject image and the section in association with each other.

Abstract: In one embodiment, a computing system is configured to track objects in an environment or localize a user device. For example, the system accesses an image of an environment captured from a viewpoint. Based on the image, the system detects landmarks that are associated with objects in the environment and identifies expected landmarks that are expected to be observable from the viewpoint using a landmark database. The system determines that at least one of the expected landmarks is currently unobservable in the environment by comparing the expected landmarks with the detected landmarks. By accessing semantic information associated with the at least one expected landmark, the system updates the landmark database based on a determination that the semantic information satisfies predetermined criteria and removes the at least one expected landmark from the landmark database. The system performs object tracking, object mapping, or re-localization within the environment using the updated landmark database.

Abstract: Various implementations disclosed herein include devices, systems, and methods for low bandwidth transmission of event data. In various implementations, a device includes one or more cameras, a non-transitory memory, and one or more processors coupled with the one or more cameras and the non-transitory memory. In various implementations, the method includes obtaining, by the device, a set of images that correspond to a scene with a person. In various implementations, the method includes generating pose information for the person based on the set of images. In some implementations, the pose information indicates respective positions of body portions of the person. In some implementations, the method includes transmitting the pose information in accordance with a bandwidth utilization criterion.

Abstract: A reference image of a patient may be generated. A subsequent x-ray image of the patient may be generated after the generating of the reference image where the subsequent x-ray image is associated with a low dosage. A difference between the reference image and the subsequent x-ray image that is associated with the low dosage may be determined. A motion of the patient may be identified as having occurred based on the determined difference.

Abstract: Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image; optionally sampling color information from a second plurality of pixels of the digital image; generating or receiving a representative background color profile based on the color information sampled from the first plurality of pixels; generating or receiving a representative foreground color profile based on the color information sampled from the second plurality of pixels and/or the first plurality of pixels; assigning each pixel a label; binarizing the digital image based on the labels; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

Abstract: An electronic device: displays, on a display of the electronic device, a reticle element in a first appearance state overlaid on a media capture preview of objects in a field of view of an image sensor of the electronic device, where the media capture preview changes as the objects in the field of view of the image sensor change; detects a plane in the media capture preview; and, in response to detecting the plane, displays, on the display, the reticle element in a second appearance state overlaid on the media capture preview, where the reticle element corresponds to an indication of a portion of the extent of the plane while displayed in the second appearance state.

Abstract: A method and apparatus for detecting a reflection are provided. The method includes acquiring an input image of an object, based on an activation of an infrared light source, acquiring a reference image of the object, based on a deactivation of the infrared light source, and extracting a reflection region from the input image, based on the input image and the reference image.

Abstract: Provided is a method including capturing, by an image sensor disposed on a robot, images of a workspace; obtaining, by a processor of the robot or via the cloud, the captured images; comparing, by the processor of the robot or via the cloud, at least one object from the captured images to objects in an object dictionary; identifying, by the processor of the robot or via the cloud, a class to which the at least one object belongs using an object classification unit; and instructing, by the processor of the robot, the robot to execute at least one action based on the object class identified.

Abstract: Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Abstract: The invention relates to a method and apparatus for evaluation of the effect of a treatment on one or more characteristics of a plant. More particularly, the invention relates to a method and apparatus for high throughput analysis of the effect of a treatment on one or more characteristics of a plant.

Abstract: A method of predicting warps for image registration includes receiving warp data for a first band pair in an N-band system. The method includes fitting a warp model to the warp data to produce an offset profile for the first band pair, predicting a respective offset profile for at least one other band pair in the N-band system, and using the predicted respective offset profile to generate a warp for the at least one other band pair. The method also includes registering images of the at least one other band pair using the warp for the at least one other band pair. In another aspect, a method of predicting warps for image registration includes receiving warp data for m band pairs in an N-band system, wherein m?(N?1) and m>2, to register images.

Abstract: Methods of inspecting cellular articles such as cellular ceramic articles are disclosed, wherein the methods comprise characterizing a web structure from intensity values of a digital image. One method comprising establishing an edge location for each of the walls of the web, and an edge intensity slope SE for each edge location, and then searching for a wall intensity slope SW in one of the web walls of the characterized web structure to determine the location of a web defect. Another method involves determining at least one characteristic that defines a conforming cell, then identifying a non-conforming cell region based on the at least one characteristic, and then examining the walls within the non-conforming cell region to locate the defect in one of the walls within the non-conforming cell region.

Abstract: Techniques, devices, and systems to improve detection and security of a displayed image on a screen of a computer device, such as a device, including detection of an object in an environment, where the object has an inverse-colorspace relationship in relation to the colorspace of the environment. A system includes: a first camera device configured to determine a first underlying colorspace corresponding to an environment, a second camera device configured to determine a second underlying colorspace corresponding to either i) an actual change in the environment or ii) a predicted change in the environment, and a computer device configured to determine an inverse colorspace of at least one of i) the first underlying colorspace or ii) the second underlying colorspace and configured to detect an object in the environment based on the inverse colorspace determination.

Abstract: Smart metrology methods and apparatuses disclosed herein process images for automatic metrology of desired features. An example method at least includes extracting a region of interest from an image, the region including one or more boundaries between different sections, enhancing at least the extracted region of interest based on one or more filters, generating a multi-scale data set of the region of interest based on the enhanced region of interest, initializing a model of the region of interest; optimizing a plurality of active contours within the enhanced region of interest based on the model of the region of interest and further based on the multi-scale data set, the optimized plurality of active contours identifying the one or more boundaries within the region of interest, and performing metrology on the region of interest based on the identified boundaries.

Abstract: The disclosure is directed to an object detection method using a CNN model and an object detection apparatus thereof. In an aspect, the object detection method includes generating a sensor data; processing the sensor data by using a first object detection algorithm to generate a first object detection result; processing the first object detection result by using a plurality of stages of sparse update mapping algorithm to generate a plurality of stages of updated first object detection result; processing a first stage of the stages of updated first object detection result by using a plurality of stages of spatial pooling algorithm between each of stages of sparse update mapping algorithm; executing a plurality of stages of deep convolution layer algorithm to extract a plurality of feature results; and performing a detection prediction based on a last-stage feature result.

Abstract: A method for controlling a motor vehicle, including steps of scanning an object in the area of the motor vehicle; of determining a present specific embodiment of the object; of comparing the present specific embodiment with different predetermined specific embodiments of the object; of selecting a predetermined specific embodiment that corresponds to the present specific embodiment; and of determining the local area in which the motor vehicle is located on the basis of a local area that is associated with the selected specific embodiment.

Abstract: A method includes determining, at an image processing device, object quality values for a plurality of objects represented in an image. The object quality values are based on portions of image data for the image. The object quality values include a blurriness value for each object and a color value for each object. The method includes accessing, via the image processing device, object category metrics associated with an object category. The object category metrics include a blurriness metric for each object and a color metric for each object. The method also includes performing, with the image processing device, a particular image processing operation for the image based on comparisons of the object quality values for each object to corresponding object category metrics.

Abstract: A method for analyzing media to evaluate talent of a subject portrayed in the media is provided. The steps describe receiving a plurality of the media at a server, the media being performance based media; transforming the media into at least a data set corresponding to at least a characteristic of the media at the server, wherein the server is in communication with a node; identifying features in the data set that correspond to a probability of success of the subject in the media; receiving subjective opinion polling data from a plurality of participants as to whether the subject in the media has talent; training the node via machine learning algorithm to identify, using the identified features in the data set and the subjective opinion polling data provided, whether the subject is likely to have talent; and executing the machine learning algorithm to output a score relating to the talent of the subject in the media. A system for discovering talent is also provided herein.

Abstract: An image processing apparatus includes an object detection unit configured to detect objects from a plurality of images captured at different times, based on a degree of matching with a predetermined criterion, a determination unit configured to determine whether the objects detected by the object detection unit include an object that is the same object as an object detected within an image captured at another time, and an attribute detection unit configured to perform processing for extracting one or more object images, based on the degree of matching, from a plurality of object images corresponding to the object determined to be the same object by the determination unit, and detecting an attribute of the same object with respect to the extracted one or more object images.

Abstract: Devices, systems, and methods for generating a medical image receive scan data, wherein the scan data is defined in an acquisition space; perform a first reconstruction process to generate a lower-resolution image based on the scan data, wherein the first reconstruction process uses a subset of the scan data; and perform a second reconstruction process to generate a higher-resolution image based on the scan data, wherein the second reconstruction process uses more of the scan data than the subset of the scan data.