Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A method of monitoring a user performing a handwashing procedure, including: recognizing a user based upon biometric information obtained at a handwashing station, a user; detecting use of a component of the handwashing station; capturing image data of the user at the handwashing station; capturing data describing components and consumables used at the handwashing station; analyzing, using a processor, the image data; determining compliance with a handwashing procedure based at least in part on the analysis of the image data and the use of the component; and communicating compliance information. Other aspects are described and claimed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. One of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.

Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.

Abstract: Techniques are described for decoding portions of image frames for virtual reality (VR) media content. A field of view of a viewer within a VR environment can be determined and used to decode a portion of an image frame that provides image content for that portion. The other portions of the image frame that are not within the image frame can remain non-decoded when not in the visible field of view.

Abstract: A method includes analyzing media data to determine characteristics of a media content item corresponding to the media data based on first visual information of the media content item. The method includes analyzing the characteristics of the media content item based on a media popularity data structure to generate a prediction of whether the media content item is likely to exceed a popularity threshold within a particular period of time. The method further includes generating a suggested content change to the media content item in response to the prediction indicating that the media content item is not likely to exceed the popularity threshold within the particular period of time.

Abstract: A method of increasing resolution of an image includes generating vector contours associated with a first image and scaling the vector contours to a second resolution. The first image has a first resolution, and the second resolution is greater than the first resolution. The vector contours are rendered to generate a guiding image at the second resolution, and a second image is generated from the first image based on the guiding image, by using joint upsampling. The second image is generated at the second resolution. The vector contours can be generated by bitmap tracing binary images at different quantization levels. An apparatus and computer readable device implementing the method of increasing the resolution of an image are also provided.

Abstract: This application describes techniques for providing computer vision-based surveillance of in-home services. In some instances, a remote system may authenticate a guest at an environment using data that the remote system receives from a camera apparatus. To authenticate the guest, the remote system can determine that an identification of the guest matches an identification of a worker associated with a scheduled service at the environment. When the scheduled service includes an in-home delivery, the remote system can further determine that a package in possession of the guest matches an item for the scheduled in-home delivery. In some instances, after the guest enters the environment, the remote system can further monitor the environment to ensure that the guest stays within a designated location of the environment. The remote system can further send a message to an electronic device when the guest is outside of the designated location.

Abstract: A system controller serving as a controller for controlling a forming machine acquires, from a sensor which outputs image data for determining a distance in a height direction by sensing a predetermined area including a machining area of the forming machine, background image data not including an image of a workpiece and an operator of the forming machine, and current state image data representing a current state of the predetermined area during operation of the forming machine. The system controller calculates difference data indicating a difference between the background image data and the current state image data, and determines an area of the operator in the predetermined area based on the difference data. The system controller controls operation speed of the forming machine based on a result of the determination.

Abstract: A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.

Abstract: A method for processing an image includes receiving an input image having distortion, receiving position information input by a user on the received input image, generating a first image by correcting the input image having distortion, and translating a position on the input image having distortion indicated by the received position information into a position on the generated first image. The method further includes setting, on the generated first image, a first mask area having a predetermined shape and including the position on the generated first image translated from the position on the input image having distortion, and performing mask processing on the set first mask area on the generated first image.

Abstract: An apparatus may include an ultrasonic sensor array, a light source system and a control system. Some implementations may include an ultrasonic transmitter. The control system may be operatively configured to control the light source system to emit light that induces acoustic wave emissions inside a target object. The control system may be operatively configured to select a first acquisition time delay for the reception of acoustic wave emissions primarily from a first depth inside the target object. The control system may be operatively configured to acquire first ultrasonic image data from the acoustic wave emissions received by the ultrasonic sensor array during a first acquisition time window. The first acquisition time window may be initiated at an end time of the first acquisition time delay.

Abstract: According to one embodiment, an image processing apparatus includes a first acquisition module, a receiver, a second acquisition module, a calculator, a generator and an output module. The first acquisition module acquires first model data indicating a shape corresponding to a subject. The receiver receives pose data indicating a pose. The second acquisition module acquires second model data indicating a shape corresponding to a body shape of the subject and the pose indicated by the pose data. The calculator calculates an evaluation value based on the first and second model data. The generator generates notification information based on the evaluation value. The output module outputs the notification information.

Abstract: Systems and methods for controlling output of content based on human recognition data captured by one or more sensors of an electronic device are provided. The control of the output of particular content may be based on an action of a rule defined for the particular content, and may be performed when at least one human feature detection related condition of the rule is satisfied. In some embodiments, the action may include granting access to requested content when detected human feature data satisfies at least one human feature detection related condition of a rule defined for the requested content. In other embodiments the action may include altering a presentation of content, during the presentation of the content, when detected human feature data satisfies at least one human feature detection related condition of a rule defined for the presented content.

Abstract: Techniques are described for encoding image frames of media content to be displayed within a three-dimensional projection space. Characteristics of the image frame when transformed to fit within the projection space can be determined and used to generate encoding parameters. The image frame can then be encoded using those encoding parameters, and therefore, improve the playback of the media content when it is displayed within the projection space.

Abstract: Object images captured by a wide-angle camera are distorted due to the optical effects of the wide-angle lens. The disclosed innovations allow an automatic analysis on the corrected image distinguishing normal movement from an unusual event movement. The analysis is based on Markov Modeling on moving object trajectories and motion angles.

Abstract: A method for producing framing information for a set of N source images, each comprising an object region R, comprises scaling, translating and/or rotating images of the source images so that the object region is aligned. For a given image of the object aligned source images, at a given frame size, a given frame angle for a frame relative to the object aligned images and at a first candidate boundary position for the frame, the method determines if there is at least one position for a second boundary of the frame orthogonal to the first boundary where the frame lies within the image and the frame encloses the object region. If so, counters associated with the first candidate boundary position are incremented. Responsive to any counter meeting a threshold value,K?N, for the source images, framing is indicated as possible at the given frame size, frame angle, first candidate boundary position and any position for the second boundary associated with the threshold meeting counter.

Abstract: The optical sensor device including a sensor layer, a microlens layer and a filter layer is provided. The sensor layer includes a plurality of sensor areas, and is configured to sense a multi-wavelength light from a finger. The microlens layer includes a plurality of microlenses arranged in an array, and is disposed on the sensor layer. Each of the microlenses focuses the multi-wavelength light on a corresponding one of the sensor areas. The filter layer is disposed between the sensor layer and the microlens layer, and configured to filter the multi-wavelength light to generate a plurality of lights with different wavelengths. In addition, the fingerprint sensor apparatus including the foregoing optical sensor device is also provided.

Abstract: Human Computer Interfaces (HCI) may allow a user to interact with a computer via a variety of mechanisms, such as hand, head, and body gestures. Various of the disclosed embodiments allow information captured from a depth camera on an HCI system to be used to recognize such gestures. Particularly, by training a classifier using vectors having both base and extended components, more accurate classification results may be subsequently obtained. The base vector may include a leaf-based assessment of the classification results from a forest for a given depth value candidate pixel. The extended vector may include additional information, such as the leaf-based assessment of the classification results for one or more pixels related to the candidate pixel. Various embodiments employ this improved structure with various optimization methods and structure to provide more efficient in-situ operation.

Abstract: An image processing apparatus includes an edge detecting unit, a rectangular object detecting unit, and an arrangement processing unit. The edge detecting unit is configured to (a) search each target line in a page image that includes plural rectangular objects for edges of the plural rectangular objects, and (b) detect the edges of the plural objects on the target line on the basis of density variation between pixels in the target line. The rectangular object detecting unit is configured to (a) detect the plural rectangular objects on the basis of the detected edges, and (b) determine respective positions, respective sizes and respective tilt angles of the plural rectangular objects. The arrangement processing unit is configured to rotate areas of the plural rectangular objects specified by the determined positions, the determined sizes and the determined tilted angles by angles corresponding to the tilted angles, respectively.