Image data is accessed. The image data includes frequency domain components. A subset of the frequency domain components is selected based on the relative importance of the frequency domain components. Only the subset of the frequency domain components is provided to an accelerator that executes a neural network to perform an artificial intelligence task using the subset of frequency domain components.

A method for acquiring a fingerprint image through a fingerprint image acquisition apparatus is provided. The method includes recognizing a finger of an user through a sensor included in the apparatus to generate an initial input fingerprint image when the finger contacts with a biometric recognition area of the display unit, acquiring a converted fingerprint image by converting the initial input fingerprint image in a pre-determined manner to reveal a characteristic of a pattern, included within the initial input fingerprint image, corresponding to a pattern signal reflected from at least a part of the display unit. The method further includes selecting a pattern removal fingerprint image, if a learned pattern image is stored in a memory, from the learned pattern image based on similarity. The similarity is calculated between the converted fingerprint image and a converted reference image.

A fingerprint verification method includes selecting one or more first fingerprint groups from among a plurality of fingerprint groups based on an input fingerprint image, each fingerprint group of the plurality of fingerprint groups including partial fingerprint images; and determining whether verification is successful based on the input fingerprint image and each of the partial fingerprint images included in the one or more first fingerprint groups.

A method for detecting the presence of an emergency vehicle includes receiving a plurality of image frames over a period of time, determining an EV colour component for each image frame based on the ratio of a first colour relative to the total colour in each pixel and assigning to a pixel a first value if the EV colour component exceeds a predefined threshold value and a second value if the EV colour component does not, and determining for an EV colour value for the first colour based on the sum of all of the first values for each image frame. The method also includes generating a time domain representation, converting the time domain representation for the plurality of image frames to a frequency spectrum, and determining if any flashing light sources of the first colour associated with one or more types of emergency vehicles is present.

The present invention discloses an image fusion method based on Fourier spectrum extraction, which comprises: step 1, inputting a plurality of to-be-fused images to a processor of a computer by an input unit of the computer, and performing the following steps by the processor of the computer: performing Fourier transform on images at different focus positions, extracting a frequency component corresponding to an image with the maximum frequency amplitude in the images at different focus positions in a transformed frequency domain space, taking the frequency component as a frequency component of a fused image at the corresponding spatial frequency, traversing each frequency to generate a frequency domain component of the fused image, finally performing inverse Fourier transform on the frequency domain component of the fused image to obtain the fused image; and step 2, outputting the fused image obtained by the processor by an output unit of the computer.

A printing plate (10) having at least one optical marker (12, 14) for detecting a position of the printing plate (10) is described. The optical marker (12, 14) comprises an optically detectable structure (18) being positioned within a periphery (20) of the marker (12, 14). Furthermore, a method for detecting a position of a printing plate (10) is presented. Additionally, a control unit (38) for a system (36) for detecting a position of a printing plate (10) and a system (36) for detecting a position of a printing plate (10) are explained. Moreover, a computer program comprising computer readable program code means for causing steps of the method is defined.

Techniques for generating magnetic resonance (MR) images from MR data obtained by a magnetic resonance imaging (MRI) system comprising a plurality of RF coils configured to detect RF signals. The techniques include: obtaining a plurality of input MR datasets obtained by the MRI system to image a subject, each of the plurality of input MR datasets comprising spatial frequency data and obtained using a respective RF coil in the plurality of RF coils; generating a respective plurality of MR images from the plurality of input MR datasets by using an MR image reconstruction technique; estimating, using a neural network model, a plurality of RF coil profiles corresponding to the plurality of RF coils; generating an MR image of the subject using the plurality of MR images and the plurality of RF coil profiles; and outputting the generated MR image.

Disclosed herein include embodiments of a system, a device, and a method for sorting a plurality cells of a sample. A plurality of raw images comprising pixels of complex values in a frequency space can be generated from a plurality of channels of fluorescence intensity data of fluorescence emissions of fluorophores, the fluorescence emissions being elicited by fluorescence imaging using radiofrequency-multiplexed excitation in a temporal space. Spectral unmixing can be performed on the raw images prior to a sorting decision being made.

A system and method for detection of synthesized videos of humans. The method including: determining blood flow signals using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, the first machine learning model taking as input bit values from a set of bitplanes in a captured image sequence, the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining whether blood flow patterns from the video are indicative of a synthesized video using a second machine learning model, the second machine learning model taking as input the blood flow signals, the second machine learning model trained using a blood flow training set including blood flow data signals from at least one of a plurality of videos of other human subjects for which it is known whether each video is synthesized.

A method and system for temporal frequency analysis for identification of unmanned aircraft systems. The method includes obtaining a sequence of video image frames and providing a pixel from an output frame of the video; generating a fluctuating pixel value vector; examining the fluctuating pixel value vector over a period of time; obtaining the frequency information present in the pixel fluctuations; summing the frequency coefficients for the vectorized pixel values from the fluctuating pixel value vector; obtaining an image representing a two dimensional space based on the summed center frequency coefficients; generating a series of still frames equal to a summation of the center frequency coefficients for pixel variations; and combining the temporal information into spatial locations in a matrix to provide a single image containing the spatial and temporal information present in the sequence of video image frame.