Abstract: A method for automated segmentation of a blood vessel of a head and neck of a subject in a medical image, the method comprising: identifying the location of anatomical landmarks in the medical image; identifying regions of interest in the medical image based on the landmarks; segmenting segments of blood vessels in the medical image; classifying at least one of the segments as defining the blood vessel based on its position relative to the landmarks within the regions of interest to create a classified blood vessel; identifying a starting seed for the blood vessel from the classified blood vessel; identifying an ending seed for the blood vessel from the classified blood vessel; segmenting the blood vessel between the starting seed and the ending seed; and defining a path between the starting seed and the ending seed.

Abstract: A real-time video enhancement method performed at a terminal includes: obtaining an average luminance of a current frame of an image; determining a first enhancement curve corresponding to the current frame from a mapping relationship between a luminance range and the first enhancement curve according to the average luminance of the current frame; determining a local enhancement curve of the current frame according to a pixel range of the current frame; determining a second enhancement curve of the current frame according to the local enhancement curve of the current frame and the first enhancement curve of the current frame; and adjusting the current frame according to the second enhancement curve.

Abstract: Techniques are described for image analysis and representation for emotional metric threshold generation. A client device is used to collect image data of a user interacting with a media presentation, where the image data includes facial images of the user. One or more processors are used to analyze the image data to extract emotional content of the facial images. One or more emotional intensity metrics are determined based on the emotional content. The one or more emotional intensity metrics are stored into a digital storage component. The one or more emotional intensity metrics, obtained from the digital storage component, are coalesced into a summary emotional intensity metric. The summary emotional intensity metric is represented.

Abstract: The application provides a data update method for face-to-unlock authentication, an authentication device and system, and a non-volatile storage medium. The data update method for face-to-unlock authentication includes: acquiring facial image data of a user to be unlock-authenticated; obtaining a plurality of candidate sets from the facial image data; determining whether there is target data satisfying a predetermined condition among the plurality of candidate sets; in the case where it is determined that there is target data satisfying the predetermined condition among the plurality of candidate sets, updating facial image data in a first set by using the target data, wherein a first unlock authentication is performed based on the facial image data in the first set.

Abstract: Embodiments include accessing a set of digital pathology (DP) images having an imaging parameter; applying a low-computational cost histology quality control (HistoQC) pipeline to the DP images, where the low-computational cost HistoQC pipeline computes a first set of image metrics associated with a DP image, and assigns the DP image to a first or a second, different cohort based on the imaging parameter and the first set of image metrics; applying a first, higher-computational-cost HistoQC pipeline to a member of the first cohort; applying a second, different higher-computation-cost HistoQC pipeline to a member of the second cohort; where the first or second, higher-computational-cost HistoQC pipeline determines an artifact-free region of the member of the first or second cohort, respectively, and classifies the member of the first or second cohort, respectively, as suitable or unsuitable for downstream computation or diagnostic analysis based, at least in part, on the artifact free region.

Abstract: The present disclosure generally relates to an automated method and system for generating a three-dimensional (3D) representation of a skin structure of a subject. The method comprises: acquiring a plurality of two-dimensional (2D) cross-sectional images of the skin structure, specifically, using optical coherence tomography (OCT) technique; computing a cost for each 2D cross-sectional image based on a cost function, the cost function comprising an edge-based parameter and a non-edge-based parameter; constructing a 3D graph from the 2D cross-sectional images; and determining a minimum-cost closed set from the 3D graph based on the computed costs for the 2D cross-sectional images, wherein the 3D representation of the skin structure is generated from the minimum-cost closed set.

Abstract: A CPU 11 of a boundary line detection device 10 according to an embodiment of the present invention is configured to function as an image acquisition component 112 that acquires images captured (inputted) via an image input device (a camera or the like), captured images received via a network, and so forth, and a boundary line detector 114 that detects a boundary line included in these captured images. The boundary line detector 114 is configured to specify, using a learned model 152, a plurality of estimated points estimated to be points on a boundary line included in a captured image and to detect the boundary line included in the captured image on the basis of at least the specified estimated points.

Abstract: A framework for estimating image interpretability degradation associated with image compression is provided. An image compression broker system can determine an image compression setting to achieve an interpretability task in accordance with available communication bandwidth or transmission time objectives. Estimating image interpretability degradation includes detecting edge points of an uncompressed image and determining gradients corresponding to the detected edge points; compressing in accordance with a compression parameter setting the uncompressed image to generate a compressed image and determining gradients corresponding to the edge points in the compressed image; determining from the gradients associated with the edge points gradient ratios; and estimating from the gradient ratios an image interpretability loss of the compressed image.

Abstract: A method and an apparatus for generating an output image from a volume data set that includes a plurality of voxels are provided. In the method, a rendered 2D image is generated from the volume data set by volume rendering. In order to generate an output image with adjusted brightness, which makes a manual readjustment of the brightness superfluous, an adjustment factor is determined based on a brightness value of pixels in the rendered 2D image. By multiplying a respective voxel brightness value of the voxels in the volume data set by the adjustment factor, a brightness-adjusted volume data set is generated. By volume rendering from the brightness-adjusted volume data set, the brightness-adjusted output image is generated.

Abstract: The present disclosure provides a watermark image processing method and apparatus, a device and a computer readable storage medium. In the embodiments of the present disclosure, it is feasible to obtain at least one similar image approximate to the watermark image according to the watermark image including the watermark, and obtain a replaceable image of each similar image of said at least one similar image in the watermark area, according to a watermark area where the watermark is located in the watermark image so that it is possible to obtain a carrier image not including the watermark, according to the watermark image and the replaceable image of said each similar image in the watermark area. Since the replaceable image of the similar image in the watermark area is employed to obtain the carrier image not including the watermark, the valid content in the watermark image covered by the watermark is restored and thereby the reliability of the image is improved.

Abstract: An image processing apparatus includes a character recognizing unit and a font type determining unit. The character recognizing unit is configured to determine a character code of a character in a text of a predetermined process unit in an image. The font type determining unit is configured to determine a font type of the character. Further, the font type determining unit performs a font type determining process; and in the font type determining process, (a) determines a font type on a character by character basis and (b) sets as a specific font type font types of all characters in a text of the predetermined process unit if a ratio of the number of characters with the specific font type to the number of all characters in the text of the predetermined process unit exceeds a predetermined threshold value.

Abstract: Object detection systems and methods can include identifying an object of interest within an image obtained from a camera, obtaining a first supplemental portion of data associated with the object of interest determining an estimated location of the object of interest within three-dimensional space based at least in part on the first supplemental portion of data and a known relative location of the camera, determining a portion of the LIDAR point data corresponding to the object of interest based at least in part on the estimated location of the object of interest within three-dimensional space, and providing one or more of at least a portion of the image corresponding to the object of interest and the portion of LIDAR point data corresponding to the object of interest as an output.

Abstract: Facial image data of an individual is collected of the individual to provide mental state data using a first web-enabled computing device. The mental state data is analyzed to produce mental state information using a second web-enabled computing device. The mental state information is shared across a social network using a third web-enabled computing device. The mental state data is also collected from the individual through capture of sensor information. The mental state data is also collected from the individual through capture of audio data. The individual elects to share the mental state information across the social network. The mental state data may be collected over a period of time and analyzed to determine a mood of the individual. The mental state information is translated into a representative icon for sharing, which may include an emoji. An image of the individual is shared along with the mental state information.

Abstract: Provided is a method of acquiring an optimized closed curved surface image using multiple cameras, and more particularly, an image providing method that produces a single image using a plurality of cameras fixed to a rig and having different capturing viewpoints, the method including projection operation of acquiring a single image by projecting images acquired from the plurality of cameras on a projection surface of a closed curved surface based on parameter information, rendering operation of fitting the acquired single image in a quadrangular frame for each region through a non-uniform sampling process, and viewing operation of mapping the sampled image to a viewing sphere.

Abstract: A sensor assembly comprises a rigid substrate with a circuit subassembly wrapped therearound. The circuit subassembly includes a flexible substrate with conductive traces and interconnects formed thereon, and when wrapped around the rigid substrate, the conductive traces may overlap one another so as to form capacitive sensor elements. The interconnects connect the conductive traces to one or more components, such as a printed circuit board attached to a portion of the flexible substrate. The sensor assembly maybe installed in an opening formed in a host device panel of a host device, such as a smart phone, with the sensor assembly optionally peripherally surrounded by a spacer frame, and covered by a cover element. The circuit subassembly may include a host connector tab for electrically connecting the sensor assembly to electrical components of a host device.

Abstract: Provided is an apparatus and method for providing an application service using a satellite image. An application service providing apparatus using a satellite image may include a satellite image information acquirer configured to acquire a satellite image; an object extractor configured to analyze the satellite image, to extract an object from the satellite image, and to generate an object image corresponding to the object; a storage configured to store the satellite image and the object image; and a service processing configured to process a service based on at least one of the satellite image and the object image.

Abstract: A system and method for scoring trained probes for use in analyzing one or more candidate poses of a runtime image is provided. A set of probes with location and gradient direction based on a trained model are applied to one or more candidate poses based upon a runtime image. The applied probes each respectively include a discrete set of position offsets with respect to the gradient direction thereof. A match score is computed for each of the probes, which includes estimating a best match position for each of the probes respectively relative to one of the offsets thereof, and generating a set of individual probe scores for each of the probes, respectively at the estimated best match position.

Abstract: A method includes: receiving, at a server and from an augmented reality device, user information of a user using the augmented reality device; generating, by the server, a picture feature sample sub-library corresponding to the user information, including screening out, from a preset picture feature sample library, picture feature samples associated with the user information; and providing, to the augmented reality device, the picture feature sample sub-library, wherein the picture feature sample sub-library can be configured to be used by the augmented reality device to perform, during image scanning of an offline environment of the user, image recognition of images scanned from the offline environment by comparing the scanned images to picture features in the picture feature sample sub-library.

Abstract: An optical fingerprint identification device includes a cover plate, a piezoluminescent layer, an optical sensing layer and a patterned light shield layer. The piezoluminescent layer is arranged under the cover plate, and has a changed state of light emission when subjected to a pressure, to emit light of a certain wavelength. The optical sensing layer is configured to detect the light reflected by a finger. The patterned light shield layer is arranged between the optical sensing layer and the piezoluminescent layer, and is configured to block the light from directly going into the optical sensing layer.

Abstract: Methods and systems for providing weak pattern (or hotspot) detection and quantification are disclosed. A weak pattern detection and quantification system may include a wafer inspection tool configured to inspect a wafer and detect defects present on the wafer. The system may also include at least one processor in communication with the wafer inspection tool. The at least one processor may be configured to: perform pattern grouping on the detected defects based on design of the wafer; identify regions of interest based on the pattern grouping; identify weak patterns contained in the identified regions of interest, the weak patterns being patterns deviating from the design by an amount greater than a threshold; validate the identified weak patterns; and report the validated weak patterns or facilitate revision of the design of the wafer based on the validated weak patterns.