Abstract: An imaging device, comprising an image sensor that exposes a subject image and repeatedly outputs image signals resulting from having subjected this subject image to photoelectric conversion at a fixed period, a subject detection circuit in which the image signals are input to a neural network circuit that has learned operation parameters for detecting a specified subject by deep learning, and that detects the specified subject, and a subject association determination circuit for forming associations based on a positional relationship between a subject (whole subject) that has been detected by the subject detection circuit, and parts of the subject, wherein the specified subject is a subject (whole subject) and parts that have been subjected to subject association.

Abstract: A tracking system includes a set of cameras, a kiosk, and a tracking server. The kiosk receives a payment amount from a person. The tracking server extracts features of the person from an image feed received from the set of cameras. The tracking server generates a session identifier that is associated with the payment amount and a unique code. The unique code represents at least one of the payment amount and features of the person. The tracking server sends a message to the kiosk to provide a ticket corresponding to the payment amount and the unique code to the person. The tracking server receives a digital cart associated with the person comprising items and a total cash value of the items. The tracking server concludes a transaction by deducting the total cash value from the payment amount.

Abstract: A method of detecting a biometric feature with an electronic device and the method includes the following steps. Firstly, a detection region of the electronic device is provided, and the electronic device includes a plurality of first color pixels, a plurality of second color pixels, and a sensor module. Then, a first color light and a second color light are respectively generated by turning on at least a portion of the first color pixels and at least a portion of the plurality of second color pixels in the detection region. Next, a first area and a second area are simultaneously generated by the first color and the second color light, wherein the first area and the second area are overlapped with the detection region, and the sensor module is overlapped with the detection region. Finally, a biometric feature is determined.

Abstract: According to one embodiment, a reading support system includes a processing device. The processing device includes an extractor and a type determiner. The extractor extracts a plurality of regions from a candidate region. The candidate region is a candidate of a region in which a meter is imaged. The regions respectively include a plurality of characters of the meter. The type determiner determines a type of the meter based on positions of the regions.

Abstract: A fingerprint recognition method and terminal device provide authentication by simultaneously collecting fingerprint data when a power-on signal is detected, attempting to match the fingerprint data with preset fingerprint data, and logging in to the terminal device proceeds when the matching succeeds.

Abstract: An in-vehicle monitoring information generation control device includes: an image acquisition unit acquiring an image generated by capturing the inside of an unmanned vehicle; an abnormality determination unit determining whether or not an abnormality is occurring in the unmanned vehicle; an in-vehicle monitoring information generating unit generating in-vehicle monitoring information, with which no passenger in the unmanned vehicle who is captured in the image can be identified, on the basis of the image acquired by the image acquisition unit; and a transmission control unit transmitting the in-vehicle monitoring information generated by the in-vehicle monitoring information generating unit to the outside of the unmanned vehicle in a case where it is determined that no abnormality is occurring in the unmanned vehicle on the basis of a determination result determined by the abnormality determination unit.

Abstract: A fingerprint acquisition device comprising, a space for receiving a finger of a user, a light source configured to emit a illumination light illuminating the space, a camera configured to acquire an image of a fingerprint of the finger, when the finger is received in the space, and, a polarization system configured to polarize the illumination light before the illumination light reaches the space and after the illumination light has passed through the space, and to polarize an ambient light emanating from outside the device and propagating towards the camera, before the ambient light reaches the space, and to polarize the ambient light after the ambient light has passed through the space.

Abstract: A detection device includes a plurality of optical sensors arranged in a detection area, a light source configured to emit light that is emitted to an object to be detected and is detected by the optical sensors, and a processor configured to perform processing based on outputs from the optical sensors. The processor is configured to determine, based on the outputs of the respective optical sensors obtained at a cycle of a predetermined period, an optical sensor an output of which is to be employed from among the optical sensors.

Abstract: A method for providing a global cardiac wall motion classification for a patient is disclosed, and includes employing Cardiac Magnetic Resonance (CMR) image data. In some embodiments, the method comprises one or more of a myocardium segmentation step, a slice classification step, a movement feature extraction step, and a global classification or evaluation step, wherein a patient is classified as having normal cardiac wall motion, or as having suspicious or abnormal cardiac wall motion.

Abstract: Techniques related to performing image registration are discussed. Such techniques include converting a source image region and a target image portion from a color image space to a semantic space and iteratively converging homography parameters using the source image region and target image portion in the semantic space by applying iterations with some homography parameters allowed to vary and others blocked from varying and subsequent iterations with all homography parameters allowed to vary.

Abstract: A method for processing video data, comprising: receiving raw video data, representative of a plurality of frames; detecting, using the raw video data, one or more regions of interest in a detection frame that belongs to the plurality of frames, for example using a region proposal network; performing a cropping process on a portion of the raw video data representative of the detection frame, based on the regions of interest, so as to generate cropped raw video data; performing image processing on the cropped raw video data, including demosaicing, so as to generate processed image data for the detection frame; and analyzing the processed image data, for example using an object detection process, to determine information relating to at least one of said one or more regions of interest.

Abstract: A method includes: acquiring an image of first piece of clothing to be collocated; determining information of one or more second piece of clothing for collocation with the first piece of clothing; determining clothing collocation images containing the information of the one or more second piece of clothing in the collocation image library; and selecting clothing collocation images matched with the image of the first piece of clothing from the determined clothing collocation images. The information of the one or more second piece of clothing is pre-marked clothing category information of clothing collocation images in a collocation image library.

Abstract: An authentication system accesses an image of a face of a user. The face of the user is partially covered by a facial mask. The authentication system detects an area on the facial mask and generates a first identification of the user based on the area on the facial mask. The authentication system also detects an exposed area uncovered by the facial mask on the face of the user and generates a second identification of the user based on the exposed area. The authentication system compares the first identification of the user with the second identification of the user, and authenticates the user based on the comparison.

Abstract: Systems and methods are described for generating pixel image data, using a lensless camera, based on light that travels through a mask that with pattern masking the lensless camera. The system applies a transformation function to the pixel image data to generate frequency domain image data. The system inputs the frequency domain image data into a machine learning model, wherein the machine learning model does not have access to data that represents the pattern of the mask. The model is trained using a set of images with the feature that are captured by the flat, lensless camera through the mask. The system processes the frequency domain image data using the machine learning model to determine whether the pixel image data depicts the image feature. The system further performs an action based on determining that the pixel image data depicts the image feature.

Abstract: An insect sortation system includes a first puff system in a puff-back region for moving insects toward an inlet of an insect pathway and a second puff system in a puff-forward region for moving insects toward an outlet of the pathway. The first puff system is configured to singulate the insects. The second puff system is configured to sort the insects.

Abstract: Accurate vehicle localization is arguably the most critical and fundamental task for autonomous vehicle navigation. While dense 3D point-cloud-based maps enable precise localization, they impose significant storage and transmission burdens when used in city-scale environments. A highly compressed representation for LiDAR maps, along with an efficient and robust real-time alignment algorithm for on-vehicle LiDAR scans, is proposed here. The proposed mapping framework, requires less than 0.1% of the storage space of the original 3D point cloud map. In essence, mapping framework emulates an original map through feature likelihood functions. In particular, the mapping framework models planar, pole and curb features. These three feature classes are long-term stable, distinct and common among vehicular roadways. Multiclass feature points are extracted from LiDAR scans through feature detection.

Abstract: A method of generating a patient-specific prosthetic includes receiving anatomic imaging data representative of a portion of a patient's anatomy. A first digital representation of the anatomic imaging data is defined. The first digital representation of the anatomic imaging data is modified. A second digital representation of the portion of the patient's anatomy is defined based on the modifying of the first digital representation of the anatomic imaging data. A patient-specific prosthetic template of the portion of the patient's anatomy is generated based at least in part on the second digital representation of the anatomic imaging data.

Abstract: A sensor device includes an array sensor having a plurality of detection elements arrayed in one or two dimensional manner, a signal processing unit configured to acquire a detection signal by the array sensor and perform signal processing, and a calculation unit. The calculation unit detects an object from the detection signal by the array sensor, and gives an instruction, to the signal processing unit, on region information generated on the basis of the detection of the object as region information regarding the acquisition of the detection signal from the array sensor or the signal processing for the detection signal.

Abstract: An electronic device is provided that includes a display in which a fingerprint recognition area is formed and which includes a display pixel layer, and a rear panel, formed under the display, having a first hole. The electronic device also includes a bracket, disposed under the rear panel, having a sensor accommodating area corresponding to a fingerprint sensor. The electronic device additionally includes the fingerprint sensor disposed under the display pixel layer and adapted to acquire image information to be used for authentication of a fingerprint using at least partially light radiated from the display pixel layer and reflected by the object. The sensor accommodating area has a second hole passing through the bracket, and the fingerprint sensor is disposed in the sensor accommodating area such that an air gap between the display and the fingerprint sensor is formed at least by a portion of the second hole.

Abstract: Image captured through a non-rectilinear lens may exhibit distortions. The distortions may be reduced by warping the image. However, warping the image may degrade the fidelity of the image. The warped image may be enhanced to increase the fidelity of the image. The enhancement may be applied to the portions of the image that were degraded from the warping.