Abstract: An image generating method and an image generating apparatus are provided. The image generating method includes generating a first image based on first event signals that are output from an event-based vision sensor during a first time period and stored in a buffer, generating a second image based on second event signals that are output from the event-based vision sensor during a second time period and stored in the buffer, and aligning the first image and the second image to generate a third image having a quality that is higher than qualities of the first image and the second image.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire information for identifying a position of a plane in a captured image, where the captured image includes a structure composed of a plurality of planes as an object, a determination unit configured to determine a correspondence relationship between a region corresponding to the plane in the captured image and a region in an overhead image to be created, according to the information acquired by the acquisition unit, and a generation unit configured to correct an image of the region corresponding to the plane in the captured image so that the corrected image corresponds to the region in the overhead image to be created, according to the correspondence relationship determined by the determination unit, and generate an overhead image composed of a plurality of corrected images that are combined with each other.

Abstract: Provided is a process of classifying ambient signals to reduce fraudulent use of information, the process including: receiving, with the mobile computing device, from a remote server, balance-access information by which a stored value card balance can be spent at a point of sale terminal; storing, with the mobile computing device, the balance-access information; sensing, with one or more sensors of a mobile computing device, ambient signals; classifying the ambient signals as indicating the user is in a retail establishment; and in response to the classification, displaying, on a display screen of the mobile computing device, the balance-access information, such that the balance-access information can be input to a point-of-sale terminal.

Abstract: There is provided a system comprising a memory and a processor configured to receive a media content depicting an activity, extract a first plurality of features from a first segment of the media content, make a first prediction that the media content depicts a first activity based on the first plurality of features, wherein the first prediction has a first confidence level, extract a second plurality of features from a second segment of the media content, the second segment temporally following the first segment in the media content, make a second prediction that the media content depicts the first activity based on the second plurality of features, wherein the second prediction has a second confidence level, determine that the media content depicts the first activity based on the first prediction and the second prediction, wherein the second confidence level is at least as high as the first confidence level.

Abstract: A press sheet for fingerprint reader and a fingerprint reader are provided. The press sheet includes a transparent substrate, a microstructure layer, and a diffusion layer. The transparent substrate has a first surface and a second surface, and the first surface faces towards an optical imaging apparatus. The microstructure layer is disposed on the first surface of the transparent substrate, and the diffusion layer contains diffusion particles.

Abstract: An electronic device may include a device housing having a topside and an underside. The electronic device may also include a mounting frame movable above the topside of the device housing and a finger biometric sensor carried by the mounting frame. A flexure member may be coupled to the underside of the device housing and configured to upwardly bias the mounting frame relative to the device housing. A pushbutton switch may be operatively coupled between the finger biometric sensor and the topside of the device housing.

Abstract: Disclosed are a fingerprint module, a method for fabricating the same, and a mobile terminal. The fingerprint module has a fingerprint chip and a circuit board. The fingerprint chip has an identifying surface and a connecting surface opposite to the identifying surface, wherein the identifying surface is configured to identify a fingerprint of a user. The circuit board is attached to the connecting surface, wherein a sealing adhesive is disposed between the circuit board and the fingerprint chip.

Abstract: A fingerprint identification apparatus including an image capture device, at least one light emitting device and a light guide device is provided. The image capture device has a light reception surface. The at least one light emitting device is disposed beside the image capture device. The light guide device shields the at least one light emitting device and has an opening. The opening of the light guide device exposes the light reception surface of the image capture device. The opening of the light guide device is defined by a side wall of the light guide device. The side wall of the light guide device is tilted relative to the light reception surface of the image capture device. Moreover, a manufacturing method of the fingerprint identification apparatus is also provided.

Abstract: This disclosure relates to dynamically determining balance shelf life of an industrial component including analyzing a plurality of images of the industrial component to detect a plurality of defects in the industrial component, and determining an overall impact of the plurality of defects on the shelf life of the industrial component based on at least one of a type of each of the plurality of defects, an extent of each of the plurality of defects with respect to the industrial component, an attribute of the industrial component, an attribute of a working component, and an operational usage of the industrial component. The balance shelf life of the industrial component is dynamically determined based on an initial expected life of the industrial component and the overall impact of the plurality of defects on the shelf life of the industrial component.

Abstract: Defect classification includes acquiring one or more images of a specimen including multiple defects, grouping the defects into groups of defect types based on the attributes of the defects, receiving a signal from a user interface device indicative of a first manual classification of a selected number of defects from the groups, generating a classifier based on the first manual classification and the attributes of the defects, classifying, with the classifier, one or more defects not manually classified by the manual classification, identifying the defects classified by the classifier having the lowest confidence level, receiving a signal from the user interface device indicative of an additional manual classification of the defects having the lowest confidence level, determining whether the additional manual classification identifies one or more additional defect types not identified in the first manual classification, and iterating the procedure until no new defect types are found.

Abstract: An information providing method of an electronic device is provided. The information providing method includes determining a selected area based on a user input, determining an extraction method based on types of one or more objects included in the selected area, extracting information from the selected area according to the determined extraction method, and performing a specific function based on the information.

Abstract: A moving method for moving a plurality of objects by repeating a process of capturing an image of objects, recognizing a position of an object using the image acquired by image capturing, and moving the recognized object includes acquiring an image of a plurality of objects randomly placed in a first state in each of a first space and a second space partitioned from each other, setting a first partial area corresponding to the first space and a second partial area corresponding to the second space in an entire area of the image in the first state, recognizing a position of a first object in the first partial area and a position of a second object in the second partial area using the image in the first state, and moving the recognized first and second objects using a robot.

Abstract: Disclosed are methods, circuits, optical assemblies, devices, systems and associated computer executable code for estimating for three dimensional imaging. According to some embodiments, there may be provided a projector operable to project a bi-dimensionally coded pattern to provide a first projection of the bi-dimensionally coded pattern and a second projection of the bi-dimensionally coded pattern. The first projection and the second projection may be offset or rigidly shifted with respect to one another, such that a first reflection off an object which is associated with the first projection and a second reflection off the object which is associated with the second projection are provided. A signal corresponding to the first reflection and a signal corresponding to the second reflection may be co-processed.

Abstract: An information processing apparatus predicts, based on a geometric model of an object to be measured, an image degradation of the object in an image in which the object is captured by a capturing device. Furthermore, the information processing apparatus searches a two-dimensional image in which the object is captured by the capturing device for a measurement data feature that corresponds to a model feature of the geometric model, and evaluates, using the two-dimensional image, an image degradation with respect to the found measurement data feature. The information processing apparatus calculates, based on the predicted image degradation and the evaluated image degradation, the accuracy of the correspondence between the model feature and the measurement data feature, and collates, based on this accuracy, the geometric model and the object in the two-dimensional image.

Abstract: An acoustic imaging system can include an array of transducers in acoustic communication with a substrate configured to receive a subject for imaging. The transducers can independently or cooperatively send an acoustic pulse into the substrate toward the subject. In many examples, a number of adjacently-positioned transducers are activated substantially simultaneously so as to generate a plane wave into the substrate. After the plane wave has had an opportunity to propagate through the substrate, reflect from the top surface, and propagate through the substrate again, the electrical signals can be obtained from the transducers and an image of the subject can be assembled. In many embodiments, the plurality of transducers can be driven and read in groups such as non-intersecting (disjoint) sets or subarrays.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for image processing using deep neural networks. One of the methods includes receiving data characterizing an input image; processing the data characterizing the input image using a deep neural network to generate an alternative representation of the input image, wherein the deep neural network comprises a plurality of subnetworks, wherein the subnetworks are arranged in a sequence from lowest to highest, and wherein processing the data characterizing the input image using the deep neural network comprises processing the data through each of the subnetworks in the sequence; and processing the alternative representation of the input image through an output layer to generate an output from the input image.

Abstract: A method for image processing includes obtaining a mask of a stroke from an image and identifying a plurality of cross edges for the stroke based on the mask and a reference line. The plurality of cross edges includes a group of adjacent cross edges that intersect the reference line. The method further includes (a) calculating a first vector based on positions of at least two of the cross edges in the group, (b) expanding the group, based on the first vector, to include cross edges adjacent to the group that do not intersect the reference line, (c) calculating a second vector based on positions of at least two of the cross edges in the expanded group, and (d) expanding the expanded group, based on the second vector, to include a second group of adjacent cross edges nearby the expanded group that do not intersect the reference line.

Abstract: A fingerprint sensor, comprising: a pixel array including a plurality of unit pixels arranged in rows and columns, each of the plurality of unit pixels including: a sensing electrode configured to form a detection capacitor; and a signal generation circuit configured to generate an analog signal based on a capacitance of the detection capacitor; and a controller configured to control an operation of the pixel array, wherein the controller is configured to electrically connect sensing electrodes of at least two unit pixels adjacent to each other and activate only one of the signal generation circuits included in the at least two unit pixels to generate the analog signal.

Abstract: A method and a device for determining similarity between sequences are provided. The method includes obtaining a first sequence of frames and a second sequence of frames, determining a descriptor of a first frame of the first sequence based on luma information of blocks in the first frame, the descriptor of the first frame including luma difference information that is determined based on the luma information of the blocks in the first frame, determining a descriptor of a second frame of the second sequence based on luma information of blocks in the second frame, the descriptor of the second frame including luma difference information that is determined based on the luma information of the blocks in the second frame, and determining a similarity between the first sequence and the second sequence based on the descriptor of the first frame and the descriptor of the second frame.

Abstract: The present invention relates to a biological information recognition apparatus and a method for selectively activating, by the biological information recognition apparatus, a plurality of piezoelectric elements. More particularly, the present invention relates to a biological information recognition apparatus which may be used to identify a user by recognizing biological information, such as the fingerprint, blood vessels, and bones of a finger of the user, and a method of driving the same. More specifically, the present invention relates to a methodology for individually activating a plurality of piezoelectric elements included in the biological information recognition apparatus and scanning biological information using a method different from a conventional method by selectively activating the plurality of piezoelectric elements.