Abstract: A medication monitoring system including a patient information unit having a processor, a memory and a patient monitoring unit and a program executing in the memory executing the steps of communicatively coupling a first device with a second device, transmitting live images from the first device to the second device, analyzing the content of the live images to identify at least one biometric attribute of a user in the image and at least one bar code on a container in the image, determining whether the bar code is associated with at least one biometric attribute, and notifying the user whether to consume the contents of the container based on the association of the bar code with the biometric attribute.

Abstract: A method for proactively creating a photo product includes storing a library of points of interest in a computer storage, detecting one or more images from a user, automatically extracting image capture locations from the images, automatically comparing the image capture locations with the points of interest in the library to obtain one or more identified points of interest, automatically identifying an occasion based on the identified points of interest in the library, automatically selecting, by the computer processor, a photo product type in part based on the occasion, automatically creating a design of a photo product of the photo product type using one or more images from the user, and manufacturing a physical photo product based on the photo product design.

Abstract: With respect to two images acquired from two video images including a mutually-overlapping area in which the two video images overlap each other, an image transformation matrix for mapping coordinate systems is sequentially generated. Coordinate transformation of at least one image of the images is performed using the generated image transformation matrix. A composite image is created by overlaying two images with the at least one image subjected to the coordinate transformation. The currently used image transformation matrix and the newly generated image transformation matrix are compared with each other. If the two image transformation matrices are similar, the coordinate transformation is performed using the currently used image transformation matrix continuously. If the two image transformation matrices are dissimilar, the coordinate transformation is performed using an image transformation matrix corrected with the newly generated image transformation matrix.

Abstract: A velocity measuring device includes an event sensor, a ranging sensor and a controller. The event sensor could detect a first image frame of an object along a plane at a first time point and detect a second image frame of the object at a second time point. The ranging sensor could detect a first depth of the object along a depth direction at the first time point, wherein the depth direction is substantially perpendicular to the plane and detect a second depth of the object along the depth direction at the second time point. The controller could obtain first-dimensional velocity and a second-dimensional velocity along the plane according to the first image frame, the second image frame, the first depth and the second depth, and obtain a third-dimensional velocity along the depth direction according to the first depth or the second depth.

Abstract: The present disclosure provide a control method, a control apparatus, and an electronic device. The method includes processing the scene data to recognize a face region; processing the scene data to acquire depth information of the face region; determining a portrait region based on the face region and the depth information; and controlling the electronic device based on the portrait region.

Abstract: Systems and methods are disclosed for correcting for artificial deformations in anatomical modeling. One method includes obtaining an anatomic model; obtaining information indicating a presence of an artificial deformation of the anatomic model; identifying a portion of the anatomic model associated with the artificial deformation; estimating a non-deformed local area corresponding to the portion of the anatomic model; and modifying the portion of the anatomic model associated with the artificial deformation, based on the estimated non-deformed local area.

Abstract: A monitoring method includes the following operations: capturing depth image data of a predetermined environment and generating estimated distance of an object in the predetermined environment; comparing the depth image data with human body feature; and controlling the depth camera to perform a recording operation when the depth image data conforms to the human body feature and when the estimated distance is less than a first distance threshold, in order to generate video data.

Abstract: Methods relating generally to textured printing are disclosed. In a method, at least one object or object outline in an image is identified using an artificial intelligence engine. A sub image is generated for the at least one object or object outline. The image and the sub image are processed to convert into image information and associated position information for the sub image in relation to the image for textured printing. The image information and the position information are stored in a memory for the textured printing.

Abstract: The invention concerns a method and a biometric acquisition device for biometric vascular recognition and/or identification. The method comprising a step of capturing a plurality of veins images (116, 117, 118) of supposed subcutaneous veins (21) of a same inspecting portion (20) of a presented entity (2) from various converging orientations (113, 114, 115). The method further comprises a step of determine if said entity is a spoof based on estimated likelihood that said supposed subcutaneous veins within said plurality of veins images (116, 117, 118) are likely projections of solid veins (120).

Abstract: Embodiments of the present disclosure provide an image registration method and apparatus, and an image stitching method and device. The image registration method includes: calculating a correlation coefficient image between a reference image and a floating image; calculating a gradient image of the correlation coefficient image; determining a pixel with extreme correlation coefficient in the correlation coefficient image according to a pixel with extreme gradient in the gradient image; and registering the reference image and the floating image according to the pixel with extreme correlation coefficient. The above image registration method and apparatus have high universality, require a small amount of calculation, and can ensure real-time operation and obtain a more accurate registration result. The image stitching method and device are realized based on the image registration method, thereby improving the speed and accuracy.

Abstract: The present disclosures relates to finding or localizing machine readable indicia (e.g., a barcode or digital watermark) in imagery. One claim recites an apparatus comprising: memory for buffering blocks of image data, the image data having been captured with a camera and depicting a printed object; one or more processors programmed for: generating an edge orientation sensitive feature set from the image data; using a first trained classifier to determine whether the feature set includes data representing a barcode; and using N additional trained classifiers to determine an orientation angle associated with the barcode, wherein N comprises an integer greater than 3, and wherein the orientation angle is selected based on a probability metric. Of course, other claims and combinations are provided too.

Abstract: Technologies are presented herein in support of a system and method for performing fingerprint recognition. Embodiments of the present invention concern a system and method for capturing a user's biometric features and generating an identifier characterizing the user's biometric features using a mobile device such as a smartphone. The biometric identifier is generated using imagery captured of a plurality of fingers of a user for the purposes of authenticating/identifying the user according to the captured biometrics and determining the user's liveness. The present disclosure also describes additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's fingers and analyzing the captured images for indications of liveness.

Abstract: A method performed by a biometric collection device, including: conveying a waiting signal to a user of the biometric collection device in response to the biometric collection device being waiting for at least one finger to be placed on the biometric collection device; capturing a flat fingerprint or a rolled finger print of the finger; and conveying a result signal to the user in response to the biometric collection device succeeding in or failing in capturing the flat fingerprint or the rolled finger print of the finger, wherein the waiting signal differs from the result signal in at least a length of lighting or a color.

Abstract: A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of detected objects, each of which has a signature representing features of the detected object. The match classifier matches object instances by analyzing data derived from the signatures. The match classifier determines whether the signatures match.

Abstract: A fingerprint identification method and device, a storage medium and a terminal are provided. The method includes: when a touch sensing unit senses a touch signal after a screen is touched by a fingerprint to be identified, a control unit sending a display drive signal to a display unit to light pixels of one or more discrete point light source regions in the display unit; and a photoelectric sensing unit receiving a scattered light signal formed by light from the pixels reaching a physiological tissue of a finger having the fingerprint to be identified, and a total reflection light signal formed by light from the pixels reaching the screen. True or false fingers may be easily identified and determined, which enhances security and reliability of a fingerprint identification system, and also ensures and improves quality of fingerprint imaging.

Abstract: The invention relates to a method of a fingerprint sensing system of extracting fingerprint feature data from an image captured by a fingerprint sensor of the fingerprint sensing system, and a fingerprint sensing system performing the method.

Abstract: A terminal for receiving streaming data may receive information of a plurality of different quality versions of an image content; request, based on the information, a server for a version of the image content from among the plurality of different quality versions of the image content; when the requested version of the image content and artificial intelligence (AI) data corresponding to the requested version of the image content are received, determines whether to perform AI upscaling on the received version of the image content, based on the AI data; and based on a result of the determining whether to perform AI upscaling, performs AI upscaling on the received version of the image content through a upscaling deep neural network (DNN) that is trained jointly with a downscaling DNN of the server.

Abstract: Systems and methods for assisting a physician in a medical intervention comprises performing a 2D-3D deformable registration, and more particularly, performing a 2D-3D registration based on multiple live 2D fluoroscopic views, and implemented on a multi-core processing framework such as a Graphics Processing Unit.

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 deep learning based license plate identification method, device, equipment, and storage medium. The deep learning based license plate identification method comprises: extracting features of an original captured image by using a single shot multi-box detector to obtain a target license plate image; correcting the target license plate image to obtain a corrected license plate image; identifying the corrected license plate image by using a bi-directional long short-term memory model to obtain target license plate information. When the deep learning based license plate identification method performs license plate identification, the identification efficiency is high and the accuracy is higher.