Abstract: A collation system of the present invention includes imaging means for acquiring a captured image of a pre-passage side area with respect to each of gates arranged in parallel with each other, and collation means for performing a collation process on the captured image of the pre-passage side area for each of the gates, between a previously registered target and a target included in the captured image. The collation means performs the collation process on the basis of a target in the captured image corresponding to one of the gates and a target in the captured image corresponding to another one of the gates.

Abstract: Oral care based imaging computer-implemented systems and methods for determining perceived attractiveness of a facial image portion of at least one person depicted in a digital image. The method has the following steps: a) obtaining a digital image comprising at least one oral feature of at least one person, wherein the digital image includes a facial image portion of the at least one person, the facial image portion having both positive and negative attributes as defined by pixel data of the digital image; b) analyzing the facial image portion; c) generating an Attractiveness Score indicative of a perceived attractiveness of the facial image portion based on the analyzed facial image portion in the obtained digital image; d) further generating an image description that identifies at least one area in said facial image portion based on the Attractiveness Score; and e) presenting the image description to a use.

Abstract: A Pancreatic Ductal Adenocarcinoma (PDAC) image segmentation method, an electronic device, and a storage medium are provided. In the PDAC image segmentation method, a first model is trained using a first data set; and a second model is trained using a second data set. A third data set is obtained by annotating a to-be-annotated data set using the first model and the second model and a third model is trained using a fourth data set. A training set is obtained by modifying the first data set and the third data set using the third model and a segmentation model is obtained by training an nnUNet using the training set. A to-be-segmented PDAC image is input into the segmentation model, and a segmentation result is obtained. By utilizing the PDAC image segmentation method, a more accurate PDAC image segmentation is achieved.

Abstract: A lane marking detecting method, an apparatus, an electronic device, a storage medium, a program product, and a vehicle, where a specific implementation includes: obtaining a video stream including a lane marking; extracting a key image frame from the video stream at a predetermined interval of frames, with an image frame between adjacent key image frames being a non-key image frame; detecting, for the key image frame, a lane marking according to a feature map of the key image frame; detecting, for the non-key image frame, a lane marking according to the non-key image frame and a feature map of a previous key image frame of the non-key image frame. In this embodiment, the feature map of the non-key image frame is determined and the lane marking is detected by combining the feature map of the previous key image frame, thus enabling flexibility and diversity in lane marking detection.

Abstract: A system includes: a light source that emits pulsed light that illuminates a user's head portion; a photodetector that detects at least part of pulsed light returning from the head portion and that outputs one or more signals corresponding to an intensity of the at least part; electrical circuitry; and a memory that stores an emotion model indicating a relationship between the one or more signals and emotions. Based on a change in the one or more signals, the electrical circuitry selects an emotion by referring to the model. The one or more signals include a first signal corresponding to an intensity of first part of the reflection pulsed light and a second signal corresponding to an intensity of second part of the reflection pulsed light. The first part incudes part before a falling period is started; and the second part includes at least part in the falling period.

Abstract: A system for biometric enrollment can include a server including a processor configured to receive an uncovered face image of a subject. The processor can generate a first fixed-size representation (FXR) based on the uncovered face image and a covered face image based on the uncovered face image. The processor can generate a second FXR based on the covered face image. The processor can enroll the subject associated with the uncovered face image by storing the first FXR and the second FXR in a data store.

Abstract: A system for enabling spot cleaning includes a mobile computing device and a mobile cleaning robot. The mobile computing device includes at least one camera configured to capture images of an environment, and at least one data processor configured to (a) establish, based at least in part on first information provided by the at least one image sensor, a coordinate system in the environment, (b) determine, based at least in part on second information provided by the at least one camera, a first set of coordinates of a region at a first location, (c) determine, based at least in part on third information provided by the at least one camera, a second set of coordinates of a mobile cleaning robot at a second location, (d) send the first set of coordinates and second set of coordinates, or coordinates of the first location relative to the second location, to the mobile cleaning robot, and (e) send an instruction to the mobile cleaning robot to request the mobile cleaning robot to travel to the first location.

Abstract: The present disclosure relates to a method for vascular imaging and determining dynamic vascular parameters of blood flow. According to an embodiment, the present disclosure relates to an apparatus and method of determining dynamic vascular parameters of blood flow, comprising acquiring two-dimensional projection images of a vascular region of interest at a predetermined frequency, the vascular region of interest being downstream of a site of vascular administration of a radio-opaque medium, identifying, within the acquired two-dimensional projection images, heterogeneities of the radio-opaque medium, and determining the dynamic vascular parameters of the blood flow based on spatial movements of the identified heterogeneities of the radio-opaque medium. In an embodiment, the predetermined frequency is greater than 100 Hz.

Abstract: The communication support device includes a position acquisition unit, an imaging unit, a storage, a category ranking setting unit, a counterpart detector, and a notification unit. The position acquisition unit acquires position information indicating a position of a user. The imaging unit captures an image of a surrounding environment of the user to acquire a captured image. The storage stores the counterpart database. In the counterpart database, an image of a counterpart and a category indicating a property of the counterpart are associated with the counterpart. The category ranking setting unit sets a priority to the category according to the position information acquired by the position acquisition unit. The counterpart detector detects a counterpart belonging to the category in the captured image in order of the priority set by the category ranking setting unit. The notification unit notifies the user of information regarding the counterpart detected by the counterpart detector.

Abstract: A method for estimating a pose of a deformable object includes: receiving, by a processor, a plurality of images depicting the deformable object from multiple viewpoints; computing, by the processor, one or more object-level correspondences and a class of the deformable object depicted in the images; loading, by the processor, a 3-D model corresponding to the class of the deformable object; aligning, by the processor, the 3-D model to the deformable object depicted in the plurality of images to compute a six-degree of freedom (6-DoF) pose of the object; and outputting, by the processor, the 3-D model and the 6-DoF pose of the object.

Abstract: This application discloses a video classification method performed by a computer device. The method includes: obtaining an image frame sequence corresponding to a to-be-classified video file; obtaining an appearance information feature sequence corresponding to the image frame sequence by using an image classification network model, the appearance information feature sequence including T appearance information features; obtaining a motion information feature sequence corresponding to the appearance information feature sequence by using a motion prediction network model, the motion information feature sequence including T motion information features, and the motion prediction network model being configured to predict the motion information features corresponding to the appearance information features; and determining a video classification result of the to-be-classified video file according to the appearance information feature sequence and the motion information feature sequence.

Abstract: Techniques for saving bandwidth in performing facial recognition are provided. An image including a face may be received, over a wireless link, at a first resolution. A facial recognition system may identify a subset of people who may be associated with the face, wherein the facial recognition system cannot definitively associate the face with an individual person in the subset of people, based on the image including the face at the first resolution. A feature of the subset of people that may be used to identify a person within the subset of people may be determined. A request for the portion of the image containing the feature at a second resolution may be sent over the wireless link. The second resolution may be higher than the first.

Abstract: A non-transitory computer-readable recording medium having stored an image processing program that causes a computer to execute a process, the process includes extracting a plurality of consecutive pixels corresponding to a first part or a second part of a body, from a pixel column in a predetermined direction of an image of the body, obtaining a statistical value of pixel values of the plurality of consecutive pixels, and identifying a part corresponding to the plurality of consecutive pixels, among the first part or the second part, based on the statistical value.

Abstract: Methods and system for guiding user data capture during a scan of a vehicle using a mobile device are disclosed. A user may scan a vehicle using a camera or other sensors of the mobile device to capture data from which a three-dimensional virtual model may be generated. During the scanning process, models may be generated and evaluated according to quality metrics. Visual cues may be determined and presented to the user during scanning to indicate areas sufficiently scanned or areas requiring additional scanning to meet data quality requirements for model generation. Damage to vehicle components may be identified by analysis of the generated model, and addition data capture or user annotation entry may be directed based upon the identified damage.

Abstract: An illumination detection method comprises acquiring a face image to be detected and a three-dimensional face mesh template; deforming the three-dimensional face mesh template according to the face image to obtain a reconstructed face mesh model; according to the deformation positions, in the reconstructed face mesh model, of key feature points in the three-dimensional face mesh template, determining the brightness of feature points, corresponding to the key feature points, in the face image; and according to the relationship between the predetermined brightness of the key feature points and the illumination, and the brightness of the feature points, corresponding to the key feature points, in the face image, determining illumination information of the face image.

Abstract: New software systems and capabilities that facilitate the rapid development, evaluation, and deployment of advanced inspection and detection systems using high-fidelity synthetic imagery. The present invention generates high-fidelity synthetic imagery for detection systems that analyze data across the electromagnetic spectrum in an automated, random, directed, or semi-directed manner.

Abstract: An image acquisition unit acquires a first breast image by imaging a breast which is being compressed by first imaging. A three-dimensional information derivation unit derives three-dimensional information of a mammary gland included in the first breast image. An imaging mode setting unit sets an imaging mode for second imaging of the breast based on the three-dimensional information. The image acquisition unit acquires a second breast image by imaging the breast without releasing a state during the first imaging where the breast is compressed by the second imaging based on the set imaging mode.

Abstract: Analytics are used for live streaming based on analysis within a shared digital environment. An interactive digital environment is accessed, where the interactive digital environment is a shared digital environment for a plurality of participants. The participants include presenters and viewers. A plurality of images is obtained from a first set of participants within the plurality of participants involved in the interactive digital environment. Cognitive state content is analyzed within the plurality of images for the first set of participants within the plurality of participants. Results of the analyzing cognitive state content are provided to a second set of participants within the plurality of participants. The obtaining and the analyzing are accomplished on a device local to a participant such that images of the first set of participants are not transmitted to a non-local device. The analyzing cognitive state content is augmented with evaluation of audio information.

Abstract: An apparatus, method and system are provided for sensing an individual's biometric information, and generating and transmitting an acoustic signal representative of the sensed biometric information. The acoustic signal may be transmitted as an audio signal or an ultrasonic signal to another apparatus in the system for authentication or verification of the individual's identity.

Abstract: A computer receives determines a mobile device requires a recharge, where the mobile device have a solar cell and an imaging device. The computer identifies an object with a low diffusion rate. The computer recharges the mobile device, based on determining that the mobile device receiving the solar energy from the identified object.