Abstract: A finger biometric sensor may include a lower conductive layer, an upper conductive layer, and a spacer between the lower and upper conductive layers to define an air gap therebetween. The finger biometric sensor may also include a finger biometric sensing integrated circuit (IC) above the upper conductive layer and capable of deflecting the upper conductive layer toward the lower conductive layer to change a capacitance thereof based upon pressure applied to the finger biometric sensing IC. A pressure sensing circuit may be coupled to the lower and upper conductive layers to sense the change in capacitance.

Abstract: The techniques described herein may identify images that likely depict one or more items by comparing features of the items to features of different regions-of-interest (ROIs) of the images. For instance, some of the images may include a user, and the techniques may define multiple regions within the image corresponding to different portions of the user. The techniques may then use a trained convolutional neural network or any other type of trained classifier to determine, for each region of the image, whether the region depicts a particular item. If so, the techniques may designate the corresponding image as depicting the item and may output an indication that the image depicts the item. The techniques may perform this process for multiple images, outputting an indication of each image deemed to depict the particular item.

Abstract: A video classification method and apparatus relate to the field of electronic and information technologies, so that precision of video classification can be improved. The method includes: segmenting a video in a sample video library according to a time sequence, to obtain a segmentation result, and generating a motion atom set; generating, by using the motion atom set and the segmentation result, a motion phrase set that can indicate a complex motion pattern, and generating a descriptive vector, based on the motion phrase set, of the video in the sample video library; and determining, by using the descriptive vector, a to-be-detected video whose category is the same as that of the video in the sample video library. The method is applicable to a scenario of video classification.

Abstract: The present disclosure relates to an image processing device, an image processing method, and a solid-state imaging device capable of detecting image information with high accuracy by using images with different shooting conditions. A difference detection unit detects difference information of a short exposure image of a current frame and a past frame shot in a short exposure time. The difference detection unit detects difference information of a long exposure image of a current frame and a past frame shot in a long exposure time. The combining unit combines the difference information of the short exposure image and the difference information of the long exposure image on the basis of the short exposure image or the long exposure image and generates a motion vector of the current frame on the basis of the combined difference information. The present disclosure may be applied to the image processing apparatus and the like, for example.

Abstract: A frequency resolution unit performs frequency resolution of a radiographic image to generate band images representing frequency components in a plurality of frequency bands. A reference image generation unit generates a reference image representing information associated with scattered radiation included in the radiographic image, and generates a plurality of band reference images corresponding to a plurality of frequency bands from the reference image. A band image conversion unit performs conversion between the corresponding pixels of the band reference images and the band images in the corresponding frequency bands to generate converted band images. A synthesis unit synthesizes the converted band images to generate a processed radiographic image with converted contrast.

Abstract: Techniques for planar region-guided estimates of 3D geometry of objects depicted in a single 2D image. The techniques estimate regions of an image that are part of planar regions (i.e., flat surfaces) and use those planar region estimates to estimate the 3D geometry of the objects in the image. The planar regions and resulting 3D geometry are estimated using only a single 2D image of the objects. Training data from images of other objects is used to train a CNN with a model that is then used to make planar region estimates using a single 2D image. The planar region estimates, in one example, are based on estimates of planarity (surface plane information) and estimates of edges (depth discontinuities and edges between surface planes) that are estimated using models trained using images of other scenes.

Abstract: In an X-ray CT apparatus of an embodiment, an X-ray tube emits X-rays. A detector detects the X-rays emitted from the X-ray tube and having passed through a subject. Processing circuitry collects projection data based on data detected by the detector. The Processing circuitry generates a reconstructed image from the projection data. A display displays a display image based on the reconstructed image. A input circuitry receives an operation to rotate a first display image based on a first reconstructed image generated by the processing circuitry on a screen of the display, and specify a certain region on a second display image whose axis is in a direction different from a slice direction. The processing circuitry generates a second reconstructed image from the projection data, having higher resolution than that of the first display image, for the certain region.

Abstract: A detector in embodiments includes a processor. The processor acquires an image including a face of a person. The processor acquirer depth information of the face in the image from a distance measuring module. The processor sets a deficient area indicating an area where the depth information fails to be acquired. The processor detects the face area from the image. The processor acquires a reference image generated based on a probability set to the deficient area in the image, and calculates a degree of similarity between the face area where the deficient area is set and the reference image. The processor determines whether the image is impersonation based on the degree of similarity.

Abstract: A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.

Abstract: A method for vascular assessment is disclosed. The method includes receiving a plurality of medical images of a portion of a vasculature of a subject and processing the medical images to produce a model of the vasculature. The method further includes obtaining a flow characteristic of the model and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the model.

Abstract: A device for detecting and marking differences between two substrates, such as images or written text. The device has an image capturing device that is in communication with image recognition software. Images of a secondary images are analyzed and compared to a primary image to detect differences between the two. Once a difference is detected, the device automatically disperses a marking material in the proximity of the detected difference.

Abstract: A method includes detecting an interaction event on a display of a device in a locked mode. The interaction event originates at one of a fingerprint sensor of the device or an application icon and terminates at the other of the fingerprint sensor or the application icon. The interaction event is authenticated using the fingerprint sensor. A function associated with the application icon is activated responsive to authenticating the interaction event without unlocking the device.

Abstract: A remotely controlled object (e.g., an aircraft) or a wearable article (e.g., virtual or augmented reality glasses) using high optical contrast features and a photodetector that detects light produced, reflected or scattered by the features and outputs data indicative thereof. The remotely controlled object or wearable article uses one or more controllers to determine its position and/or orientation in the real three-dimensional environment based on data from the photodetector. Data from one or more auxiliary motion sensing devices, e.g., a relative motion sensor such as an inertial device or other auxiliary motion device relying on acoustics, optics or electromagnetic waves within or outside the visible spectrum, can be used to supplement the position and/or orientation data from the photodetector.

Abstract: A server computing device and an image search system based on contents recognition using the same are provided. The image search system includes a server computing device, and the server computing device is configured to perform an operation of receiving image search basic information including at least one among an image, a keypoint extracted from the image, and an image search condition from a user computing device; an operation of extracting a keypoint which matches with a search request keypoint obtained from the image search basic information among keypoints which are previously stored; and an operation of transmitting at least one of an image and image related information corresponding to the extracted keypoint to the user computing device.

Abstract: A method for determining a tissue parameter of tissue that may be determined from passage of a contrast agent through the tissue based on a series of temporally consecutive two-dimensional digital subtraction angiography x-ray images showing propagation of the contrast agent in the tissue over time and a vascular system present in a region of the tissue includes locating at least some of the vessels of the vascular system by segmentation in the x-ray images. The method also includes assigning pixels showing segmented vessels an interpolation intensity determined by interpolation from intensities of at least some of the pixels bordering the segmented vessel, so that x-ray images from which vessels have been eliminated result. The method includes determining tissue parameters for at least some of the pixels of the series of x-ray images from which the vessels have been eliminated.

Abstract: Methods and systems for calculating dimensions for fabricating an artificial bone flap. Intra-operative data indicating dimensions of an opening in a portion of the patient's skull are obtained. 3D dimensions of the opening are calculated using the intra-operative data, registered to a reference image. The calculated 3D dimensions are provided for fabricating the artificial bone flap by a fabrication system.

Abstract: A method for removing a ghost artifact from a multiple-exposure image of a scene method includes steps of generating and segmenting a difference mask, determining a lower threshold and an upper threshold, generating a refined mask, and generating a corrected image. The difference mask includes a plurality of absolute differences in luminance-values between the multiple-exposure image and a first image of the scene. The segmenting step involves segmenting the difference mask into a plurality of blocks. The lower and upper thresholds are based on statistical properties of the blocks. The method generates the refined mask by mapping each absolute difference to a respective one of a plurality refined values, of the refined mask, equal to a function of the absolute difference, the lower threshold, and the upper threshold. The corrected image is a weighted sum of the first image and the multiple-exposure image, weights being based on the refined mask.

Abstract: A fingerprint sensing apparatus may include a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may be capable of determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data and of calculating statistical variance values for fingerprint sensor data corresponding to each of the fingerprint sensor data blocks. The control system may be capable of determining, based at least in part the statistical variance values, whether an object is positioned proximate a portion of the fingerprint sensor system.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive a refinancing offer in response to the transmission.

Abstract: There is disclosed a system for estimating the volume of food on a plate, for example meal, with a mobile device. The system uses a camera and a light pattern projector. Images of the food with and without a projected light pattern on it enable to compute the tridimensional shape and volume, while image segmentation and recognition steps estimate one or more food types in said images. By applying accessible knowledge databases, the carbs content is estimated and the associated insulin bolus doses are provided. Developments comprise coding of the light pattern, different light sources and associated wavelengths, motion compensations, additional optics, estimation of fat content and associated multi-wave boluses. The invention can be implemented in a glucometer or in an insulin pump controller provided with a test strip port or with a mobile phone.