Abstract: The present disclosure provides a method for determining a malignancy likelihood score for breast tissue of a patient. The method includes receiving a plurality of two-dimensional images of the breast tissue, the two-dimensional images being derived from a three-dimensional image of the breast tissue, for each two-dimensional image, providing the two-dimensional image to a first model including a first trained neural network, and receiving a number of indicators from the first model, each indicator being associated with a two-dimensional image included in the plurality of two-dimensional images, generating a synthetic two-dimensional image based on the number of indicators and at least one of the plurality of two-dimensional images, providing the synthetic two-dimensional image to a second model including a second trained neural network, receiving a malignancy likelihood score from the second model, and outputting a report including the malignancy likelihood score to at least one of a memory or a display.

Abstract: An information processing apparatus includes an input, a blood-relative list generator, a similar image searcher, and a suspect information generator. The input receives DNA information of a suspect and facial image relating to a plurality of facial images. The blood relative list generator generates a list of blood relatives who are presumed to be blood relatives of the suspect from a plurality of pieces of DNA information. The similar image searcher calculates degree of similarity between facial images of persons on the blood-relative list and each of the plurality of facial images, and searches for and retrieves a facial image resembling the image of the person on the blood-relative list based on the calculated degree of similarity. The suspect information generation part generates suspect information by associating information relating to the retrieved facial image with information relating to the person on the blood-relative list who resembles the retrieved facial image.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image from a first camera by illuminating a first object with a first light and determine an object status as one of a real object or a counterfeit object by comparing a first measure of pixel values corresponding to the first object to a threshold.

Abstract: A device for identifying a pattern over a first surface includes a photosensitive layer, and a light-guiding layer disposed between the photosensitive layer and the first surface. The photosensitive layer includes a plurality of photosensitive elements, each configured to convert incident light into an electrical signal. The light-guiding layer includes a plurality of light-guiding units, each positionally corresponding to one of the plurality of photosensitive elements. Each light-guiding unit include a plurality of light-transmitting portions, each configured to guide a light beam reflected from a feature of the pattern positionally corresponding thereto to transmit therethrough and reach one of the plurality of photosensitive elements corresponding to the each of the plurality of light-guiding units. The device can be used for identification of fingerprint, as well as other biometric or non-biometric features, and has a reduced thickness and an improved accuracy for pattern identification.

Abstract: Some embodiments include a special-purpose hardware accelerator that can perform specialized machine learning tasks during both training and inference stages. For example, this hardware accelerator uses a systolic array having a number of data processing units (“DPUs”) that are each connected to a small number of other DPUs in a local region. Data from the many nodes of a neural network is pulsed through these DPUs with associated tags that identify where such data was originated or processed, such that each DPU has knowledge of where incoming data originated and thus is able to compute the data as specified by the architecture of the neural network. These tags enable the systolic neural network engine to perform computations during backpropagation, such that the systolic neural network engine is able to support training.

Abstract: Systems and methods for detecting textured contact lenses in an iris image are disclosed. Initially, “K” images are taken of an eye in near-infrared light, each for a different positioning of the illuminant. Three-dimensional properties of the hypothetical iris are estimated based on image processing methods. The variability of the estimated three-dimensional properties is calculated, and a classification into two classes is made based on the variability. A low variability denotes that an authentic iris pattern was presented to the sensor, whereas a high variability denotes that the sensor observes an eye wearing a textured contact lens. The systems and methods disclosed allow for detecting presentation attacks to iris recognition systems/sensors based on presentation of an eye wearing a textured contact lens in an automatic and accurate way.

Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.

Abstract: A detecting device includes a substrate, a plurality of detection electrodes provided on the substrate and arrayed in a first direction parallel to the substrate, a plurality of drive electrodes provided on the substrate and arrayed in a second direction intersecting the first direction, a second selection circuit configured to select a plurality of the detection electrodes based on selection signals, a first selection circuit configured to select a plurality of the drive electrodes, a detector coupled to the selected detection electrodes out of the detection electrodes, and a memory storing therein, as a set of output data, a plurality of detection signals output from the selected detection electrodes via the detector by the first selection circuit scanning the drive electrodes in one period when the second selection circuit selects the detection electrodes.

Abstract: Various adaptive surgical visualization systems are disclosed. Surgical visualizations can compensate for obscured, incomplete, damaged, or interfered with portions of captured images by substituting those portions of the images with corresponding portions of other images. The other images could include images that were previously generated by the surgical visualization system or images that were generated using multispectral imaging techniques.

Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.

Abstract: Techniques are described for passive three-dimensional (3D) image sensing based on chromatic differentiation for use in object verification. For example, multiple sub-images correspond to 3D feature regions of an object. The sub-images can be analyzed to obtain respective sets of feature depth measurements (e.g., depth, textural signatures, etc.) based on multiple differentiated chromatic components of raw image sensor data captured from the object. A verification signal can be output as a function of comparing the respective sets of feature depth measurements from the plurality of characteristic sub-images to previously stored feature depth expectations, such that the verification signal indicates whether an identity of the object is verified and/or whether the object is a spoof.

Abstract: A system and a method for removing artifacts from a 3D coordinate data are provided. The system includes one or more processors and a measuring device. The one or more processors are operable to receive training data and train the 3D measuring device to identify artifacts by analyzing the training data. The one or more processors are further operable to identify artifacts in live data based on the training of the processor system. The one or more processors are further operable to generate clear scan data by filtering the artifacts from the live data and output the clear scan data.

Abstract: Systems and methods are disclosed for circular stitching of images. For example, methods may include accessing a first image captured using a first image sensor; accessing a second image captured using a second image sensor; determining a cost table for a circular stitching boundary that includes overlapping regions of the first image and the second image; determining an extended disparity profile based on a periodic extension of the cost table and a smoothness criterion, wherein the extended disparity profile has a length greater than the width of the cost table; determining a binocular disparity profile of a length equal to the width of the cost table based on a contiguous subsequence of the extended disparity profile; and stitching the first image and the second image using the binocular disparity profile to obtain a combined image.

Abstract: In order to provide an information processing apparatus in which a correction work time for coating information is shortened, an information processing apparatus for an imprint apparatus configured to perform an imprint process of forming a pattern on an imprint material (R) on a substrate (W) using a mold on the basis of coating information indicating a position of the imprint material (R) includes: at least one processor or circuit which function as: an obtaining unit configured to obtain inspection information regarding a result of an inspection of the substrate (W) which has been subjected to the imprint process; an analysis unit configured to analyze the inspection information and obtain analysis information associated with the result of the imprint process; and a display control unit configured to display at least any of the inspection information and the analysis information on a screen of a display apparatus at the same time with the coating information.

Abstract: Aspects for Long Short-Term Memory (LSTM) blocks in a recurrent neural network (RNN) are described herein. As an example, the aspects may include one or more slave computation modules, an interconnection unit, and a master computation module collectively configured to calculate an activated input gate value, an activated forget gate value, a current cell status of the current computation period, an activated output gate value, and a forward pass result.

Abstract: The present disclosure discloses a method and equipment for classifying hepatocellular carcinoma images by combining computer vision features and radiomics features, wherein the method comprising: 1) collecting eligible clinical images of patients and preprocessing the collected images; 2) extracting computer vision features from a segmented image of a hepatic tumor region; 3) extracting the manual radiomics features from the segmented image of the hepatic tumor region; 4) by combining the computer vision features and the radiomics features, screening by univariate filtering and then by LASSO regression; 5) using the features resulted from screening and clinical features together for modeling by a multivariable logistic regression model, and using the Akaike information criterion (AIC) to search backward and select clinical features suitable for the best model, so as to implement the prediction of hepatocellular carcinoma pathological grading.

Abstract: A method for authentication or identification of an individual, comprising the implementation by data processing means (11) of a terminal (1) of the following steps: (a) Obtaining of a visible image, an infrared image and a depth image on each of which a biometric feature of said individual appears; (b) Selection of at least one of said visible images, infrared image and depth image depending on the ambient lighting conditions; (c) Detection of said biometric feature of the individual in each image selected; (d) Fusion of the biometric feature(s) detected; and, (e) Authentication or identification of said individual on the basis of the result of the fusion of the biometric feature(s) detected.

Abstract: Disclosed herein are methods and systems for determining whether a user engaged in an interactive video session is a genuine user or a potential impersonator by analyzing a plurality of consecutive images depicting the user while engaged in the video session to identify one or more dynamic facial patterns in the face of the user while his lips are moving. Each such dynamic facial pattern may express a movement of one or more of a plurality of wrinkles and/or other dynamic facial features (e.g., nostrils, distance between nostrils, ear, skin portion, muscle, etc.) in the face of the user. The user may be then determined to be genuine or not based on a comparison between the identified dynamic facial pattern(s) and one or more reference dynamic facial patterns.

Abstract: A framework for quality-driven image processing. In accordance with one aspect, image data and anatomical data of a region of interest are received. Zonal information is generated based on the anatomical data. Image processing is performed based on the image data to generate an intermediate image. One or more image quality metrics may then be determined for the intermediate image data using the zonal information. A processing action may be performed based on the one or more image quality metrics to generate a final image.

Abstract: A computing device stores a captured image as a transient image template when there is a failure in an image-based authentication of the captured image and the user of the computing device has provided user credentials that authorize the user to access the computing device. The transient image template may be used to further authorize the user to access the computing device during an established time period.