Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: A vehicle traveling environment detecting apparatus includes first to third stereo cameras, first to third image processors, and an image controller. The first stereo camera includes first and second cameras. The second stereo camera includes the first camera and a third camera. The third stereo camera includes the second camera and a fourth camera. The first to third image processors are configured to perform stereo image processing on first to third outside images and thereby determine first to third image processing information including first to third distance information, respectively. The first to third outside images are configured to be obtained through imaging of an environment outside the vehicle by the first to third stereo cameras, respectively. The image controller is configured to perform integration of the first image processing information, the second image processing information, and the third image processing information and thereby recognize a traveling environment of the vehicle.

Abstract: Monitoring and compensating for environmental and other conditions affecting antenna elements of an antenna is described. The conditions may affect radio frequency (RF) liquid crystal of the antenna elements. In one embodiment, the antenna comprises a physical antenna aperture having an array of surface scattering antenna elements that are controlled and operable together to form a beam for the frequency band for use in holographic beam steering and a compensation controller to perform compensation on the antenna elements based on monitored antenna conditions.

Abstract: A heart CT image processing method and apparatus and a non-transitory computer readable storage medium are provided in this application. The heart CT image processing method comprises reconstructing a heart CT image of a detected object based on projection data of a heart region of the detected object; processing voxel points having voxel values within a first threshold range in the heart CT image and obtaining a first image, wherein the first threshold range is defined by a CT value of a metal object; performing lung region segmentation on the first image to obtain a second image; performing initial heart region segmentation on the second image to obtain a third image; and performing rib removal on the third image to obtain a heart image.

Abstract: Systems, apparatuses, and methods for cooperative security in wireless sensor networks are described herein. A wireless node may organize itself into a cluster with other wireless nodes. The wireless node may cooperate with other wireless nodes in the cluster to select a leader node. The wireless node may describe its expected behaviors. The wireless node may detect a compromised wireless node within the cluster. The wireless node may prevent the compromised wireless node from compromising another wireless node.

Abstract: The disclosure provides a method for image compression and a device using the same method. The method includes: retrieving an image block including pixels, wherein each pixel include a plurality of channel data; defining root nodes according to an image compressing ratio of the image block; categorizing each channel data of each pixel into groups corresponding to the root nodes, wherein a structure of each group is a binary tree; if an empty tree exists in the aforementioned groups, dividing an non-empty tree of the groups into sub-trees and replacing the empty tree and the non-empty tree with the sub-trees to update the groups and the root nodes; building a center value of each group and determining a group index of each channel data of each group; encoding the center value of each group and characterizing each channel data as the corresponding center value and the group index to compress each channel data.

Abstract: A fingerprint image enhancement method, comprising: receiving a fingerprint image; computing a horizontal variation image and a vertical variation image of the fingerprint image (300); computing a weighted image, wherein a weighted value of a first pixel corresponding to a finger ridge in the weighted image is greater than a weighted value of a second pixel corresponding to a finger valley (304); multiplying the horizontal variation image with the weighted image to generate a weighted horizontal variation image, and multiplying the vertical variation image with the weighted image to generate a weighted vertical variation image (306); computing a fingerprint orientation image according to the weighted horizontal variation image and the weighted vertical variation image (308); and performing fingerprint image enhancement on the fingerprint image according to the fingerprint orientation image (310).

Abstract: The disclosed computer-implemented method for preventing sharing of sensitive content in image data on a closed computing platform may include (i) detecting initiation of a network connection for sending network traffic data to a data storage service on the closed computing platform, (ii) monitoring the sending of the network traffic data to identify a target traffic indicator associated with image data, (iii) interrupting the sending of the network traffic data upon identifying the target traffic indicator, (iv) analyzing the image data to identify sensitive content, and (v) performing a security action that protects against the sensitive content being shared to the data storage service on the closed computing platform. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: acquiring image information containing text information, the text information comprising printed characters and non-printed characters; recognizing the text information is the image information to generate display data, the display data comprising a recognition result of the text information; and feeding back the display data to a user. This embodiment helps to reduce the limitations on the acquisition method and the contents of image information, and may enrich the feedback method and the contents of the text information therein.

Abstract: A similar case image search method performed by a computer, the method includes: extracting a lung field area from a medical image and identifying a contour of the lung field area including a chest wall and a mediastinum; identifying a position at which the chest wall and the mediastinum are internally divided and dividing the lung field area into a central area and a peripheral area based on a shape of the lung field area; counting the number of pixels indicating lesions in each of the divided central area and peripheral area; and identifying a similar case image corresponding to similarity level of the number of pixels indicating lesions by referring to a storage unit that stores the number of pixels indicating lesions in each of the areas.

Abstract: An image processing apparatus and an image processing method practicable with the apparatus for extracting coordinates of brightness maxima from image data. The apparatus and method are particularly suitable for processing image data of a super-resolution localization microscope.

Abstract: An object tracking system includes a first sensor, a second sensor, and a tracking system. The tracking system is configured to determine that the first current pixel location for the shelf marker does not match a first expected pixel location for the shelf marker. The tracking system is further configured to determine a second current pixel location for the shelf marker within a second frame from the second sensor, to recalibrate the first sensor when the second current pixel location for the shelf marker matches the second pixel location for the shelf marker and to update the first pixel location with the first current pixel location and the second pixel location with the second current pixel location when the second current pixel location for the shelf marker does not match the second pixel location for the shelf marker.

Abstract: We disclose multiband receivers for millimeter-wave devices, which may have reduced size and/or reduced power consumption. One multiband receiver comprises a first band path comprising a first passive mixer configured to receive a first input RF signal having a first frequency and to be driven by a first local oscillator signal having a frequency about ? the first frequency; a second band path comprising a second passive mixer configured to receive a second input RF signal having a second frequency and to be driven by a second local oscillator signal having a frequency about ? the second frequency; and a base band path comprising a third passive mixer configured to receive intermediate RF signals during a duty cycle and to be driven by a third local oscillator signal having a frequency about ? the first frequency or about ? the second frequency during the duty cycle.

Abstract: Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.

Abstract: An object detection system includes color and infrared cameras, a controller-circuit, and instructions. The color and infrared cameras are configured to output respective color image and infrared image signals. The controller-circuit is in communication with the cameras, and includes a processor and a storage medium. The processor is configured to receive and transform the color image and infrared image signals into classification and location data associated with a detected object. The instructions are stored in the at least one storage medium and executed by the at least one processor, and are configured to utilize the color image and infrared image signals to form respective first and second maps. The first map has a first plurality of layers, and the second map has a second plurality of layers. Selected layers from each are paired and fused to form a feature pyramid that facilitates formulation of the classification and location data.

Abstract: A method for detecting a document fraud is disclosed. A first image of a first document and a second image of a second document are obtained. A procedure of detection of zones sensitive to document frauds are applied in the regions of the first image and of the second image registered on the first image. Each sensitive zone detected is then divided into a plurality of subparts. A measurement of dissimilarity is calculated between corresponding subparts from the first image and the registered second image. It is then determined whether the first document is identical to the second document from measurements of dissimilarity. If the first document is different from the second document, a level of difference is determined between the first and second documents according to a value representing a proportion of different subparts; and a fraud is detected when the level of difference is below a third predetermined threshold.

Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: acquiring image information containing text information, the text information comprising printed characters and non-printed characters; recognizing the text information is the image information to generate display data, the display data comprising a recognition result of the text information; and feeding back the display data to a user. This embodiment helps to reduce the limitations on the acquisition method and the contents of image information, and may enrich the feedback method and the contents of the text information therein.

Abstract: The techniques disclosed herein provide improvements over existing systems by dynamically controlling communication connections between two or more computing devices based on the detection of specific events. Instead of requiring a device, such as an IoT device, to be continually connected to a network or a remote device, the techniques disclosed herein enable the device to remain offline until a specific event is detected. The disclosed technologies can avoid always-on network configurations while providing a desired functionality for an IoT device. For instance, some devices only connect with other computing devices or at network in response to detection of an event, then disconnect after an exchange of specific information. Such technologies can significantly reduce the power consumption of a device by only invoking connections at appropriate times.

Abstract: A computer-implemented method and system for determining the geographical location of a user based on the characteristics of intersecting features, such as a road intersection. Specifically, the geometry of each intersection in a geographical area is used to derive a unique fingerprint for each individual intersection, the fingerprint comprising information relating to the geometry, the geographical location of the intersection, and other characteristics. These fingerprints can then be stored locally to a device, for example, a mobile phone, a tablet, a wearable computing device, an in-vehicle infotainment (IVI) system and the like. To determine the geographical location of the device, the geometry of a nearby intersection may be analysed by some means and compared to the stored set of unique fingerprints to identify the intersection and its associated location.

Abstract: A computer-implemented system and method for generating a medical image is provided. In some embodiments, the medical image is generated by determining a location and an alignment for a first tracking detector with respect to a particle beam system. The direction of a beam generated from the particle beam system is determined. A first position of a first particle from a detected particle hit on the first tracking detector is also determined. A determination is made as to a first residual range of the first particle from a detected particle hit on a residual range detector. The system reconstructs a path for the first particle based on the location, the alignment, the first position, and the first residual range of the first particle. The resulting medical image that is generated by the system is based on the reconstructed path for the first particle.