Abstract: While a viewer is viewing a first stereoscopic image comprising a first left image and a first right image, a left vergence angle of a left eye of a viewer and a right vergence angle of a right eye of the viewer are determined. A virtual object depth is determined based at least in part on (i) the left vergence angle of the left eye of the viewer and (ii) the right vergence angle of the right eye of the viewer. A second stereoscopic image comprising a second left image and a second right image for the viewer is rendered on one or more image displays. The second stereoscopic image is subsequent to the first stereoscopic image. The second stereoscopic image is projected from the one or more image displays to a virtual object plane at the virtual object depth.

Abstract: Embodiments of the present disclosure include a method for extracting symbols from a digitized object. The method includes processing the word block against a dictionary. The method includes comparing the word block against a word in the dictionary, the comparison providing a confidence factor. The method includes outputting a prediction equal to the word when the confidence factor is greater than a predetermined threshold. The method includes evaluating properties of the word block when the confidence factor is less than the predetermined threshold. The method includes predicting a value of the word block based on the properties of the word block. The method further includes determining an error rate for the predicted value of the word block. The method includes outputting a value for the word block, the output equal to a calculated value corresponding to a value of the word block having the lowest error rate.

Abstract: An exemplary device for classifying an image includes a receiving unit that receives image data. The device also includes a hardware processor including a neural network architecture to extract a plurality of features from the image data, filter each feature extracted from the image data, concatenate the plurality of filtered features to form an image vector, evaluate the plurality of concatenated features in first and second layers of a plurality of fully connected layers of the neural network architecture based on an amount of deviation in the features determined at each fully connected layer, and generate a data signal based on an output of the plurality of fully connected layers. A transmitting unit sends the data signal to a peripheral or remote device.

Abstract: An image processing apparatus includes an image analysis unit, a biometric information measurement unit, and a determination selection unit. The image analysis unit detects a plurality of part images of a subject from the image including the subject captured by the imaging unit. The biometric information measurement unit obtains biometric information from at least one of the plurality of part images of the subject detected by the image analysis unit. The determination selection unit determines the detectability of biometric information on each of the plurality of part images of the subject detected by the image analysis unit. The determination selection unit makes a selection regarding acquisition of the biometric information of the subject on the basis of the detectability of the biometric information determined by the determination selection unit.

Abstract: The invention relates to an eye tracking system (10) and a method for operating an eye tracking system (10) for determining if one of a left and a right eye of a user is dominant, wherein at least one image of the left and the right eye of the user is captured (S30), based on the at least one image and according to a predefined accuracy function a left accuracy score for the left eye (S34a) and a right accuracy score for the right eye (S34c) is determined and it is determined if one of the left and the right eye of the user is dominant in dependency of at least the left and the right accuracy score (S36). Thereby user-specific properties relating to his eyes can be provided and considered when performing eye tracking so that the robustness and accuracy of eye tracking can be enhanced.

Abstract: A method and system for processing images by a neural network are provided. A first computer can sequentially transfer at least two versions of an image having increasingly greater resolution to a second computer. The second computer performs an image identification process on each of the sequentially transferred at least two versions until the image is identified.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

Abstract: An imaging system whose Field of View FOV experiences occasional motion in relation to viewed scenes may be configured to reduce Fixed Pattern Noise (FPN) of acquired image data. FPN may be reduced by developing a pixel by pixel FPN correction term through a series of steps including blurring the image, identifying pixels to exclude from some calculations, a motion detector and an FPN updater for frames under motion and an FPN decay element for frames that are still.

Abstract: Techniques for identifying an emotional response and/or emotional state for a user in response to the user interacting with content may be described herein. For example, a series of facial images of a user may be captured by a user device and transmitted to a service computer that analyzes the images to identify changes in facial animation parameters. An emotional state and/or response may be determined by the service computer by utilizing the change in the facial animation parameters and a facial action coding system. In embodiments, the service computer may edit subsequent content prior to transmitting the content to the user device, utilize a particular communication channel to communicate the content, or identify a workflow that indicates a series of actions and/or content to be presented to the user device based on the determined emotional state/response of the user.

Abstract: Embodiments of the present disclosure include a method that obtains a digital image. The method includes extracting a word block from the digital image. The method includes processing the word block by evaluating a value of the word block against a dictionary. The method includes outputting a prediction equal to a common word in the dictionary when a confidence factor is greater than a predetermined threshold. The method includes processing the word block and assigning a descriptor to the word block corresponding to a property of the word block. The method includes processing the word block using the descriptor to prioritize evaluation of the word block. The method includes concatenating a first output and a second output. The method includes predicting a value of the word block.

Abstract: An artificial intelligence (AI) system is disclosed that employs windowed cellular automata to create plausible alternatives. A cellular automata-based technique may be utilized to perform pattern recognition and assess the best path available (i.e., “instant improv”). Alternative sequences (i.e., “pattern improv”) may also be used to determine alternative paths. This instant improv and pattern improv may then be used to create completely new, plausible alternative nodes. The subsequent evaluation of the sentiment further creates new, dynamic capabilities. Through the use of windowed memory learning, recall, and interpolation, new plausible structures are generated that predict dynamic systems.

Abstract: Systems and methods may be used to map an environment visible in an image captured by a camera. The mapping may include a floor map (e.g., locations within the environment where a floor is present). A method may include receiving images from a camera. The method may include using an object that moved from a first image to a second image to identify floor points within the environment. The method may include mapping a floor plane of the environment using the floor points.

Abstract: Disclosed are an electronic device and a method of operating the same. The electronic device may include a touch screen; a communication interface comprising communication circuitry; and a processor functionally connected to the communication circuitry of the communication interface, wherein the processor may be configured to receive execution information usable for authenticating at least one resource of a second external device from a first external device through the communication circuitry of the communication interface, to display a user interface configured to acquire biometric information of a user through the touch screen in response to receiving the execution information, to generate virtual biometric information based on the acquired biometric information, and to transmit the virtual biometric information to the second external device through the communication circuitry of the communication interface wherein the virtual biometric information is usable for authenticating the at least one resource.

Abstract: Techniques and systems are provided for processing video data. For example, video data can be obtained for processing by an encoding device or a decoding device. Bi-predictive motion compensation can then be performed for a current block of a picture of the video data. Performing the bi-predictive motion compensation includes deriving one or more local illumination compensation parameters for the current block using a template of the current block, a first template of a first reference picture, and a second template of a second reference picture. The templates can include neighboring samples of the current block, the first reference picture, and the second reference picture. The first template of the first reference picture and the second template of the second reference picture can be used simultaneously to derive the one or more local illumination compensation parameters.

Abstract: Users desiring to generate videos from video clips may want to locate moments of interest within the video clips. A system and method described herein may be configured to provide recommendations of moments of interest within video clips post capture of the video clips. User accounts associated with users of the system may include preference information that defines user preferences with respect to values of attributes of video clips. Moments of interest may be identified within individual video clips when the individual video clips have at least one value of at least one attribute specified by the user preferences. Recommendations of identified moments of interest may be provide to users.

Abstract: A system and method for mapping interpersonal relationships, the method including sending a first composite image that includes an image of at least one unknown person from the client machine to an image analysis system of the online social network, receiving a list of candidate persons, each candidate person corresponding to a particular person identifier and having a predetermined relationship with the first user at the client machine, and sending information indicating a selection of one of the candidate persons for tagging the image of the unknown person with the particular person identifier corresponding to the selected candidate person from the client machine.

Abstract: Artificial intelligence (AI) techniques that map disallowed states and enable access to those states under certain conditions through a search algorithm are disclosed. In other words, scenario boundaries may be crossed by jumping from one scenario that is less desirable or even has no solution to another scenario that is more desirable.

Abstract: Systems and methods are disclosed herein for determining user behavior in an augmented reality environment. An augmented reality application executing on a computing system receives a video depicting a face of a person. The video includes a video frame. The augmented reality application augments the video frame with an image of an item selected via input from a user device associated with a user. The augmented reality application determines, from the video frame, a score representing an action unit. The action unit represents a muscle on the face of the person depicted by the video frame and the score represents an intensity of the action unit. The augmented reality application calculates, from a predictive model and based on the score, an indicator of intent of the person depicted by the video.

Abstract: In some implementations, systems and techniques are capable of performing a multi-stage tattoo matching operation to improve matching accuracy for various tattoo images—namely small tattoo images, distorted tattoo images, low-quality tattoo images. The multi-stage tattoo matching operation described throughout includes two matching stages that compare a search tattoo image against a set of reference tattoo images. In the first matching stage, the system can use scale invariant feature transform (SIFT) descriptors, or other similar types of local descriptors, to identify a list of best-matched reference tattoo images from among the set of reference tattoo images. In the second matching stage, the system uses enhanced tattoo matching techniques to verify the non-matched points and determine whether their associated areas are matched or not.

Abstract: A semiconductor package apparatus may include technology to provide an image to a low power shallow hash network, generate a hash code from the low power shallow hash network, and identify one or more similar images based on the hash code. Other embodiments are disclosed and claimed.