Abstract: A system for indexing animated content receives detections extracted from a media file, where each one of the detections includes an image extracted from a corresponding frame of the media file that corresponds to a detected instance of an animated character. The system determines, for each of the received detections, an embedding defining a set of characteristics for the detected instance. The embedding associated with each detection is provided to a grouping engine that is configured to dynamically configure at least one grouping parameter based on a total number of the detections received. The grouping engine is also configured to sort the detections into groups using the grouping parameter and the embedding for each detection. A character ID is assigned to each one of the groups of detections, and the system indexes the groups of detections in a database in association with the character ID assigned to each group.

Abstract: A convolutional neural network (CNN) is applied to identifying tumors in a histological image. The CNN has one channel assigned to each of a plurality of tissue classes that are to be identified, there being at least one class for each of non-tumorous and tumorous tissue types. Multi-stage convolution is performed on image patches extracted from the histological image followed by multi-stage transpose convolution to recover a layer matched in size to the input image patch. The output image patch thus has a one-to-one pixel-to-pixel correspondence with the input image patch such that each pixel in the output image patch has assigned to it one of the multiple available classes. The output image patches are then assembled into a probability map that can be co-rendered with the histological image either alongside it or over it as an overlay. The probability map can then be stored linked to the histological image.

Abstract: An approach is provided for a redundant feature detection engine. The approach, for instance, involves segmenting an input image into a plurality of grid cells for processing by the redundant feature detection engine. The redundant feature detection engine includes a neural network. The approach also involves, for each of the plurality of grid cells, initiating a prediction of an object code by the redundant feature detection engine. The object code is a predicted feature that uniquely identifies an object depicted in the input image. The approach further involves aggregating the plurality of grid cells into one or more clusters based on the object code predicted for said each grid cell. The approach further involves predicting one or more features of the object corresponding to a respective cluster of the one or more clusters by merging one or more feature prediction outputs of said each grid cell in the respective cluster.

Abstract: A system and method for improving a video characteristic of a video stream is described. According to various implementations of the invention, a changed region between a later-in-time image frame and an earlier-in-time image frame and an unchanged region between such two image frames are determined. A new improvement to the video characteristic is determined and applied to the changed region of the later-in-time image frame. A prior improvement to the video characteristic that was determined for the earlier-in-time image frame is applied to the unchanged region of the later-in-time image frame.

Abstract: An eye open or closed state detection method, in addition to an eye opening feature, an iris shape feature and/or a vertical direction feature are added to identify the eye open or closed state, where the eye opening feature is used to represent an eye opening degree, the iris shape feature is used to represent a shape of an iris of an eye, and the vertical direction feature is used to represent a change degree of an eyelid curve.

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: A method, a device and a computer-readable storage medium for providing a visual representation of a set of objects are provided. The method includes determining a first position in a drawing area, the first position for providing first display information of a first object in the set of objects; determining a usable position associated with the first position from a plurality of preset positions in the drawing area; determining a second object associated with the first object from the set of objects; and providing second display information of the second object in the usable position.

Abstract: Disclosed herein are methods and systems for performing instance segmentation that can provide improved estimation of object boundaries. Implementations can include a machine-learned segmentation model trained to estimate an initial object boundary based on a truncated signed distance function (TSDF) generated by the model. The model can also generate outputs for optimizing the TSDF over a series of iterations to produce a final TSDF that can be used to determine the segmentation mask.

Abstract: Embodiments herein include an image manager that provides for image compression by rearranging an order of blocks from one or more images and then sorting and writing those blocks into one or more different images. This technique enables using a high-level of image compression to reduce a relatively large amount of pixels to a common subset of values than would ordinarily be possible with the original image(s). This can include extracting a plurality of blocks from a graphical digital image file. Each block from the graphical digital image file can be a group of pixels. The image manager analyzes each block to produce a corresponding variation value for each of the blocks, indicating a level of variation of pixel data within a respective block. The image manager sorts blocks according to the variation values, and can apply a level of image compression to each respective block, based on the variation value and/or average color of each respective block, to compress each respective block.

Abstract: Devices and methods for authenticating medical tests, such as a saliva test is provided. The devices can simultaneously image at least one biometric identifier associated with an intended subject being tested so as to provides authentication of a medical test such as a saliva test. The present invention has useful and practical utility in health monitoring, mobile monitoring, and crime monitoring in the fields of insurance, health, and medication.

Abstract: The invention provides an Optical Coherence Tomography (OCT) system capable of acquiring two orthogonally polarized depth scans from a target such as the fingerprint region of a finger. In the preferred embodiment the birefringence of tissue components and, optionally, other aspects of the target are measured in order determine a characteristic of the target, such as whether it is real of fake finger.

Abstract: The present invention describes a device and method for touchless palmprint acquisition. The method can be applied to a terminal device (including but not limited to mobile phones, tablet computers and other portable devices) with a display screen and a front-facing camera. The camera is used to capture images of palms. The screen is used as a supplementary light source. When lighting condition in the palm area is undesirable, the screen changes its display to improve the lighting condition inside the palm, which increases the recognizability of the palmprint. The palmprint acquisition device and method described in the present invention can be directly applied to existing terminal devices without requiring any additional hardware. By adopting a variety of ways to change the display of the built-in screen of the terminal device, the lighting condition of the palm area will be improved and the recognizability of the palmprint will be increased.

Abstract: A method includes compressing an image using a quality setting, determining a quality of the compressed image based on a quality metric, and determining if the quality of the compressed image is within a quality range. In response to determining the quality of the compressed image is within the quality range, store the compressed image; and in response to determining the quality of the compressed image is not within the quality range, modify the quality setting, and repeat the compressing step with the modified quality setting, both determining steps, and the applicable in response to step.

Abstract: Disclosed herein are systems and methods for classifying a tympanic membrane by using a classifier. The classifier is a machine learning algorithm. A method for classifying a tympanic membrane includes steps of: receiving, from an interrogation system, one or more datasets relating to the tympanic membrane; determining a set of parameters from the one or more datasets, wherein at least one parameter of the set of parameters is related to a dynamic property or a static position of the tympanic membrane; and outputting a classification of the tympanic membrane based on a classifier model derived from the set of parameters. The classification comprises one or more of a state, a condition, or a mobility metric of the tympanic membrane.

Abstract: Wafer images and related alignment methods for crystalline wafers are disclosed. Certain aspects relate to accessing and aligning images of a same or similar crystalline wafer captured from different imaging sources. Alignment may include determining spatial differences between shared crystalline features in various wafer images of the same or similar crystalline wafer and transforming at least one of the images according to the determined spatial differences. With sufficient alignment, information may be associated and/or transferred between the various images, thereby providing the capability of forming a combined wafer image and sub-images thereof with high resolution and spatial coordination between different image sources. Certain aspects relate to development of nondestructive, high fidelity defect characterization and/or dislocation counting methods in crystalline materials based on modern deep convolutional neural networks (DCNN).

Abstract: A biometric identification system and a method for biometric authentication are described. A biometric authentication system includes at least one light source comprising at least one of a vertical surface emitting laser (VCSEL) or a VCSEL array configured to provide an illumination beam when the biometric authentication system is turned on. The system also includes an optical element configured to broaden the illumination beam and direct the illumination beam towards the portion of the object so as to generate at least one corresponding image response. The system also includes an image sensing unit configured to receive the at least one corresponding image response, capture a speckle pattern in the image response and form at least one of a computer readable image or data representing a speckle contrast in the speckle pattern.

Abstract: An insect sortation system can track movement of insects along a predefined pathway. The insect sortation system includes a puff-back system for moving insects toward an inlet of the pathway and a puff-forward system for moving insects toward an outlet of the pathway. An overhead imaging system captures images of the insects at one or more locations along the pathway. Once imaged, the insect may be classified into a category (e.g., sex category, species category, size category, etc.) using a variety of different classification approaches including, for example, an industrial vision classifier and/or a machine learning classifier. Once classified, the insects can be directed to various chambers for subsequent processing.

Abstract: An electronic apparatus and an operating method thereof are provided. The electronic apparatus includes an optical fingerprint sensor and a processor. The optical fingerprint sensor is configured to obtain a fingerprint image. The processor is coupled to the optical fingerprint sensor and analyzes the fingerprint image to calculate at least one of a color pixel ratio and a light reflectance corresponding to the fingerprint image. The processor searches a background database according to at least one of the color pixel ratio and the light reflectance to obtain a background image. The processor corrects the fingerprint image according to the background image to obtain a corrected fingerprint image.

Abstract: An information processing apparatus includes circuitry. The circuitry is configured to detect at least one line segment in a reference direction from a partial area of an image. The circuitry is configured to calculate an inclination of a plane including coordinates of two points included in the at least one line segment in a spherical coordinate system and a reference point of the spherical coordinate system. The circuitry is configured to correct a zenith of the image based on the inclination of the plane.

Abstract: A fingerprint recognition device having a login circuit is provided in a terminal apparatus. A power button is configured to interwork with a contact, wherein a contact closing stroke of the power button is less than a maximum stroke of the power button. A fingerprint collection circuit is disposed on the power button and a power control circuit is coupled to the power button and configured to control power output to supply power to the fingerprint collection circuit when detecting that the power button is pressed. The power control circuit also controls power output to supply power to the fingerprint collection circuit when detecting that the contact is closed. The fingerprint collection circuit is configured to collect fingerprint data and send the fingerprint data to a fingerprint recognition circuit configured to receive the fingerprint data from the fingerprint collection circuit and match the fingerprint data with preset fingerprint data.