Abstract: A living body sensor obtains a plurality of living body images along an authentication-target living body, and a shape sensor obtains shape information corresponding to each of the plurality of living body images. A processor determines a position of a part of the authentication-target living body captured in each of the plurality of living body images, according to the shape information corresponding to each of the plurality of living body images. The processor compares a biometric feature of each of the plurality of living body images and a registered biometric feature by using a determined position of the part of the authentication-target living body and performs authentication for the authentication-target living body according to a comparison result of comparing the biometric feature of each of the plurality of living body images and the registered biometric feature.

Abstract: Some embodiments are directed to an integrated circuit and computer-implemented method for estimating a depth map from an image using a joint bilateral filter at reduced computational complexity. For that purpose, image data of an image is accessed as well as depth data of a template depth map. A joint bilateral filter is then applied to the template depth map using the image data as a range term in the joint bilateral filter, thereby obtaining an image-adapted depth map as output. The applying of the joint bilateral filter includes initializing a sum-of-weighted-depths volume and a sum-of-weights volume as respective empty data structures in a memory, performing a splatting operation to fill said volumes, performing a slicing operation to obtain an image-adapted depth volume, and performing an interpolation operation to obtain an image-adapted depth value of the image-adapted depth map for each pixel in the image.

Abstract: An apparatus and method for simultaneously testing a plurality of mobile devices is disclosed. The method for simultaneously testing a plurality of mobile devices generally includes simultaneously executing a test mobile device application on the plurality of mobile devices, determining test mobile device application results for the plurality of mobile devices at a plurality of test computers, sending a test mobile device application results from the plurality of mobile devices to the plurality of test computers, and deleting the test mobile device application on the plurality of mobile devices.

Abstract: An object of the present invention is to achieve both suppression of data amount of an image processing system that learns a collation image to be used for image identification using a discriminator and improvement of identification performance of the discriminator. In order to achieve the above object, there is proposed an image processing system including a discriminator that identifies an image using a collation image, the image processing system further including a machine learning engine that performs machine learning of collation image data required for image identification. The machine learning engine searches for a successfully identified image using an image for which identification has been failed, and adds information, obtained based on a partial image of the image for which identification has been failed and which has been selected by an input device to the successfully identified image obtained by the search to generate corrected collation image data.

Abstract: A method for semi-dense depth estimation includes receiving, at an electronic device, a control signal of a speckle pattern projector (SPP and receiving from each sensor of a dynamic vision sensor (DVS) stereo pair, an event stream of pixel intensity change data, wherein the event stream is time-synchronized with the control signal of the SPP. The method further includes performing projected light filtering on the event stream of pixel intensity change data for each sensor of the DVS stereo pair, to generate synthesized event image data, the synthesized event image data having one or more channels, each channel based on an isolated portion of the event stream of pixel intensity change data and performing stereo matching on at least one channel of the synthesized event image data for each sensor of the DVS stereo pair to generate a depth map for at least a portion of the field of view.

Abstract: Systems, apparatus, methods, and computer-readable storage media to estimate scatter in an image are disclosed. An example apparatus includes a network generator to generate and train an inception neural network using first and second input to deploy an inception neural network model to process image data when first and second outputs of the inception neural network converge, the first input based on a raw sinogram of a first image and the second input based on an attenuation-corrected sinogram of the first image, the inception neural network including a first filter of a first size and a second filter of a second size in a layer to process the first input and/or the second input to generate an estimate of scatter in the first image. The example apparatus also includes an image processor to apply the estimate of scatter to a second image to generate a processed image.

Abstract: Moving objects are detected from a temporal sequence of images captured from successive viewpoints. Image flow vectors are computed from the temporal sequence of images, for example of flow between difference images derived from the sequence. An average direction of the image flow vectors associated with displacement of image areas between a first image and a second image derived from temporal sequence of images is computed. Preferably, a method of averaging is used that is designed to suppress the effect of outliers. Regions are determined in the first image. For each of the identified regions along range of positions along the computed average direction from a position of the identified region, it is determined whether or not there is a match between first image content in the identified region in the first image and second image content in a patch located within said range of positions in the second image.

Abstract: A storage maintains raw image data including video having a sequence of frames, and annotations of the frames that indicate aspects of objects identified in the respective frames. A processor determines, for annotation of key frames of the raw image data, a task type for key frames and an agent type for key frames, receives annotations of objects identified in the key frames of the raw image data according to the key frame task type and key frame agent type, selects to review the key frames based on a confidence level of the annotations of the key frames, determines, for annotation of intermediate frames of the raw image data, a task type for intermediate frames and an agent type for intermediate frames, and receives annotations of objects identified in the intermediate frames of the raw image data according to the intermediate frame task type and intermediate frame agent type.

Abstract: Mobile device applications may be enabled to function with greater reliability and performance with greater network visibility and control over the network infrastructure. A mobile device may be enabled with multiplexing across physical and virtual network interfaces. The mobile device may communicate with a server to access specific IP cell towers with wireless to wired offload capability or access points or define a routing table across with networks including wired and wireless hop switches. The connections may be virtualized to a universal interface.

Abstract: Described is a computer-implemented method for determining material interfaces of an object by means of at least one measurement of the object, a rasterized representation of the object having a plurality of pixels being produced by means of the measurement, each pixel having at least one piece of image information, which indicates a value of a measurement variable for the object at the position of the measurement point. The method comprises the determining of a parameterization of the rasterized representation of the object, the parameterization assigning at least one parameter to each of the measurement points of a subset of the measurement points of the representation, and the applying of at least one parameter-dependent edge-detection operator to the measurement points of the rasterized representation, an edge-detection operator being designed to determine the location of at least one material interface in the rasterized representation.

Abstract: A computer-implemented method for target object position prediction includes receiving, via an RGB camera a plurality of images depicting one or more persons positioned on a floor. A plurality of person location labels is assigned to each image indicating where the one or more persons are located relative to the floor. A foot position (FP) classifier is trained to classify the images into the person location labels, wherein the FP classifier is configured according to a multi-layer architecture and the training results in determination of a plurality of weights for connecting layers in the multi-layer architecture. A deployment of the FP classifier is created based on the multi-layer architecture, the plurality of weights, and the plurality of person location labels.

Abstract: The first apparatus (2100) computes an determination accuracy representing a probability that it is correct to use, as a determination result, the first result. The first apparatus (2100) outputs the first result as the determination result in a case where the determination accuracy is greater than a first threshold value, and outputs a second result as the determination result in a case where the determination accuracy is smaller than a second threshold value. In a case where the determination accuracy is equal to or greater than the second threshold value and is equal to or smaller than the first threshold value, the first apparatus (2100) requests the second apparatus (2200) to perform the predefined determination on the determination target. The first apparatus (2100) updates at least one of the first threshold value and the second threshold value based on the determination result output by the second apparatus (2200).

Abstract: The invention concerns a method for providing an evaluation means (60) for at least one optical application system (5) of a microscope-based application technology, wherein the following steps are performed, in particular each by an optical training system (4): performing an input detection (101) of at least one sample (2) according to the application technology in order to obtain at least one input record (110) of the sample (2) from the input detection (101), performing a target detection (102) of the sample (2) according to a training technology to obtain at least one target record (112) of the sample (2) from the target detection (102), the training technology being different from the application technology at least in that additional information (115) about the sample (2) is provided, training (130) of the evaluation means (60) at least on the basis of the input recording (110) and the target recording (112), in order to obtain a training information (200) of the evaluation means (60), in that vario

Abstract: A distance measuring device according to an embodiment includes a first device including a first transceiver configured to transmit a first known signal and a second known signal and receive a third known signal corresponding to the first known signal and a fourth known signal corresponding to the second known signal, a second device including a second transceiver configured to transmit the third known signal and the fourth known signal and receive the first and second known signals and a calculating section configured to calculate a distance between the first device and the second device on a basis of phases of the first to fourth known signals, and the first transceiver and the second transceiver transmit/receive the first and third known signals one time each and transmit/receive the second and fourth known signals one time each, performing transmission/reception a total of four times.

Abstract: A mobile communication system based on digital content including images and video that may be acquired, processed, and displayed using a plurality of mobile device, smartphones, and tablet computers. The system enables a variety of priority of systems for interactions between the devices including network servers, wearable devices and appliances. The priority of systems includes various wireless communication of data and telephony between devices.

Abstract: A system performs optical character recognition (OCR) on an image displaying a portion of an object. An image classification system identifies the object in the image, based on which one or more object detection models identify labels associated with the object within the image. The system determines text of the identified labels using OCR, and analyzes the OCR resultant text for discrepancies and/or inaccuracies. In response to identifying a discrepancy, the system provides a recommendation for improving the accuracy of the OCR resultant text.

Abstract: A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body having a dual-grip configuration, with the directional antennae are affixed to a removable plate on a front portion of the body. The one or more disruption components may be internally mounted within the device body. The dual-grip configuration allows an operator to use his body to steady and support the device while maintaining the antenna on target. The second grip is positioned adjacent the first grip, with the first grip angled toward the rear of the device and the second grip angled toward the front of the device. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

Abstract: An image processing method is for detecting the edge of a well where cells are analyzed, from image data obtained by capturing the well and surroundings of the well, and an edge coordinate group for the well is extracted from the image data. If a plurality of edge coordinate groups has been extracted, edge candidates for the well are generated for each of the plurality of edge coordinate groups. Then, an edge candidate that satisfies a predetermined reference value is selected from among the generated edge candidates. If a plurality of edge candidates has been selected, relative evaluations are conducted to determine the edge of the analysis region from among the plurality of edge candidates.

Abstract: A mobile communication system based on digital content including images and video that may be acquired, processed, and displayed using a plurality of mobile devices, smartphones, tablet computers, stationary computers, intelligent electronic glasses, and servers.

Abstract: The present disclosure provides a signal amplifier of a multi-antenna system including an outdoor device communicating with base stations and an indoor device communicating with a client. The outdoor device includes a plurality of outdoor antennas, a first bidirectional signal amplifying link and a first combining-splitting network. A first end of the first bidirectional signal amplifying link is coupled to the outdoor antennas. A second end of the first bidirectional signal amplifying link is coupled to the first combining-splitting network. The indoor device includes an indoor antenna and a feeder. A first end of the feeder is coupled to the indoor antenna. A second end of the feeder is coupled to the first combining-splitting network through a radio frequency (RF) coaxial cable.