Abstract: A novel technique is provided that analyzes the state of life using multivariate data relating to life. A state visualization device includes: a coarse-graining portion configured to perform coarse-graining on values corresponding to a plurality of items included in sample data; a model creation portion configured to obtain, using binarized values, a mathematical model for calculating energies each fitting a frequency of occurrence of a state represented by a combination of values corresponding to the items; a graph creation portion configured to create a graph in which the state is placed in two-dimensional space; and an interpolation processing portion configured to create a landscape image by smoothing and interpolating a discrete graph.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for techniques for reducing feedback information in an extremely high throughput (EHT) wireless local area network (WLAN). A receiving device (beamformee), such as a station (STA), may receive a sounding signal from a transmitting device (beamformer), such as an access point (AP), and transmit channel feedback. The receiving device may transmit the channel feedback as part of a reduced compressed beamforming feedback (CBF) operation that includes determining a first set of channel characteristics. The receiving device may select a subset of the first set of channel characteristics and determine a set of differential characteristics based on the subset. The transmitting device may then transmit the sets of characteristics as reduced CBF to the transmitting device. The transmitting device may determine a channel estimation for beamformed signaling based on the reduced CBF.

Abstract: A method of processing an image within a vehicle interior with a camera includes acquiring a live image of the vehicle interior. The live image is compared to an ideally aligned image of the vehicle interior having an associated region of interest to generate a homography matrix. The homography matrix is applied to the region of interest to generate a calibrated region of interest projected onto the live image for detecting an object therein.

Abstract: A method and system based on the image processing technology and robotic technologies are used for planning and evaluating the processes of the hair transplant operations. This method allows a rapid detection of the follicle, the hair number in each follicle and the hair thickness on the images obtained by the scanning of the scalp of the patient before the operation through the image processing technology. Considering these data, “Coverage Value” calculation is automatically carried out; maximum hair number to be harvested in each area is automatically analyzed and calculated. As a result, more reliable and healthy results relative to the present operations are obtained for evaluating the whole operational process through the systematic data, and a system facilitating the method is applied.

Abstract: A character recognition method includes the following operations: determining that the image of character to be identified corresponds to a matching character of several registered characters according to several vector distances to be identified between a vector of an image of character to be identified and several vectors of several registered character images of several registered characters, and storing a matching vector distance between the vector of the image of character to be identified and a vector of the matching character by a processor; and storing a data of the matching character according to the image of character to be identified when the matching vector distance is less than a vector distance threshold by the processor.

Abstract: An object management system includes an acquisition means for acquiring an image in which a surface of a registration target object, having a circle and a handwritten character drawn thereon, is captured, a generation means for detecting an ellipse corresponding to the circle from the image and generating a registration image in which the image is applied with projective transformation such that the ellipse becomes a circle, and a registration means for writing the registration image into a storage means as data for determining the sameness of the registration target object.

Abstract: A transmitter apparatus wherein a simple structure is used to successfully suppress the degradation of error rate performance that otherwise would be caused by fading or the like. There are included encoding parts that encode transport data; a mapping part that performs such a mapping that encoded data sequentially formed by the encoding parts are not successively included in the same symbol, thereby forming data symbols; and a symbol interleaver that interleaves the data symbols. In this way, a low computational complexity can be used to perform an interleaving process equivalent to a bit interleaving process to effectively improve the reception quality at a receiving end.

Abstract: Vehicle interior object management uses analysis for detection of an object within a vehicle. The object can include a cell phone, a computing device, a briefcase, a wallet, a purse, or luggage. The object can include a child or a pet. A distance between an occupant and the object can be calculated. The object can be within a reachable distance of the occupant. Two or more images of a vehicle interior are collected using imaging devices within the vehicle. The images are analyzed to detect an object within the vehicle. The object is classified. A level of interaction is estimated between an occupant of the vehicle and the object within the vehicle. The object can be determined to have been left behind once the occupant leaves the vehicle. A control element of the vehicle is changed based on the classifying and the level of interaction.

Abstract: A system and method for evaluating the concentration of an analyte contained on a diagnostic device. The method includes preparing a database of a plurality of digital images of drug test strips showing different concentrations of analytes; preparing a machine learning model of the drug test strips; comparing an active diagnostic device to the machine learning model, and evaluating the concentration of analytes In the active diagnostic device by comparing the active diagnostic device drug panel to the drug panel of the machine learning model of a diagnostic device.

Abstract: The present disclosure relates to an image artifact removal system that improves digital images by removing complex artifacts caused by image compression. For example, in various implementations, the image artifact removal system builds a generative adversarial network that includes a generator neural network and a discriminator neural network. In addition, the image artifact removal system trains the generator neural network to reduce and eliminate compression artifacts from the image by synthesizing or retouching the compressed digital image. Further, in various implementations, the image artifact removal system utilizes dilated attention residual layers in the generator neural network to accurately remove compression artifacts from digital images of different sizes and/or having different compression ratios.

Abstract: An editing system may dynamically and intelligently determine which data points to remove, replace, and/or modify from a point cloud space so that more features, color information, and/or detail of the point cloud are preserved after decimation. The system may receive data points that are distributed in space, and may select one or more elements of the data points on which to base the decimation. For instance, the system may decimate a first subset of the data points by a first amount based on a first difference in values defined for the one or more elements of the first subset of data points, and may decimate a different second subset of the data points by a different second amount based on a second difference in values defined for the one or more elements of the second subset of data points.

Abstract: Disclosed is an electronic device providing optimal image quality according to an image characteristic. The electronic device includes: interface circuitry and a processor configured to correct an image based on a plurality of frames acquired from a signal received through the interface circuitry based on whether the image has a predefined characteristic, wherein the processor is further configured to perform recognition of the predefined characteristic based on a frame in which a pixel change between two consecutive frames among the plurality of frames is greater than or equal to a threshold.

Abstract: The embodiments of the disclosure provide a space recognition method, an electronic device and a non-transitory computer-readable storage medium. The method includes the following steps. Sensor data for detecting obstacle positions is obtained from a sensor associated with an electronic device. A plurality of coordinates respectively corresponding to the obstacle positions are generated based on the sensor data. Boundary line information of a space surrounding the electronic device is updated according to the coordinates until an optimization condition is met for each boundary line. A spatial range of the space surrounding the electronic device is identified based on the boundary line information. The spatial range is used to guide a movement of the electronic device.

Abstract: The disclosure provides a transmissive light based tremor identification method and a system thereof. The method includes: projecting, with a transmissive light, a first optical pattern to a part to be measured, wherein the transmissive light penetrates a surface of the part to be measured and correspondingly forms a second optical pattern on an internal structure of the part to be measured, and the second optical pattern is synthesized to include at least one intersection; capturing a plurality of images of the second optical pattern on the internal structure of the part to be measured and acquiring a motion feature of each intersection based on the images; and identifying a tremor pattern of the internal structure of the part to be measured based on the motion feature of each intersection.

Abstract: This method comprises: —orthogonally projecting at least one point of a point cloud along projection lines; and —for at least two points of a same projection line, signaling in a bitstream whether a position of said projection line between a nearer and a farther points of said projection line is occupied or not.

Abstract: Provided are a method and device for magnetic resonance parameter imaging, medical equipment, and a storage medium. The method comprises: performing acceleration sampling with respect to an image to be reconstructed of an observation target in a preset parameter direction to acquire K-space data corresponding to the image to be reconstructed, calculating, on the basis of the K-space data and of a parameter relaxation model, a parameter value and a compensation coefficient of the image to be reconstructed, generating, on the basis of the compensation coefficient, a compensation image corresponding to the image to be reconstructed, calculating, on the basis of the compensation image, respectively a low-rank part and a sparse part of the image to be reconstructed so as to update the compensation image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output image. In one aspect, one of the methods includes generating the output image intensity value by intensity value according to a generation order of pixel—color channel pairs from the output image, comprising, for each particular generation order position in the generation order: generating a current output image representation of a current output image, processing the current output image representation using a decoder neural network to generate a probability distribution over possible intensity values for the pixel—color channel pair at the particular generation order position, wherein the decoder neural network includes one or more local masked self-attention sub-layers; and selecting an intensity value for the pixel—color channel pair at the particular generation order position using the probability distribution.

Abstract: A method for an image-based eye disease diagnosis according to an embodiment includes receiving a fundus image, determining whether the fundus image is a deep diagnosis target using a deep diagnosis target classification model, and determining whether the fundus image has a disease through a preset deep diagnosis process when a result of the determination shows that the fundus image is the deep diagnosis target, or determining whether the fundus image has a disease by applying the fundus image to a general diagnosis model when the result of the determination shows that the fundus image is not the deep diagnosis target.

Abstract: An information processing apparatus includes circuitry to: divide an image into a first block and a second block; encode the first block using fixed-length coding based on a determination that a first data size is equal to or greater than a threshold, the first data size being a data size for the first block in a case where the first block is encoded using variable-length coding; and encode the first block using variable-length coding based on a determination that the first data size is less than the threshold.

Abstract: A three-dimensional data encoding method includes: generating predicted position information using position information on three-dimensional points included in three-dimensional reference data associated with a time different from a time associated with current three-dimensional data; and encoding position information on three-dimensional points included in the current three-dimensional data, using the predicted position information.