Abstract: Augmented reality methods and systems are described. According to one aspect, an augmented reality computer system includes processing circuitry configured to access an image of the real world, wherein the image includes a real world object, and evaluate the image using a neural network to determine a plurality of augmented reality estimands which are indicative of a pose of the real world object and which are useable to generate augmented content regarding the real world object. Other methods and systems are disclosed including additional aspects directed towards training and using neural networks.

Abstract: Augmented reality methods and apparatus are described according to some aspects of the disclosure. In one aspect, a method of experiencing augmented data includes using a source system, emitting a dynamic symbol which changes over time, using a consumption system, receiving the emission of the source system, using the consumption system, analyzing the emission which was received by the consumption system to determine whether the dynamic symbol is present in the emission, and using the consumption system, generating a representation of augmented data to be consumed by a user of the consumption system as a result of the analyzing determining that the dynamically changing symbol is present in the emission of the source system.

Abstract: Techniques for searching in an image for a particular block of pixels that represents a feature are described herein. The techniques may include searching within an expanding search area to find a block of pixels that has a threshold amount of similarity to a block of pixels of a preceding image. Upon finding a block of pixels that satisfies the threshold, the techniques may search in the image along a path of increasing similarity to the block of pixels of the preceding image.

Abstract: Techniques for searching in an image for a particular block of pixels that represents a feature are described herein. The techniques may include generating feature quality information indicating a quality of the feature with respect to blocks of pixels of the image. The feature quality information may be utilized to locate a block of pixels in a subsequent image that corresponds to the feature. For example, the feature quality information may be utilized to determine whether a block of pixels that has a threshold amount of similarity to the feature actually corresponds to the feature.

Abstract: Techniques for tracking a pose of a textured target in an augmented reality environment are described herein. The techniques may include processing an initial image representing the textured target to generate feature relation information describing associations between features on different image layers of the initial image. The feature relation information may be used to locate features in different image layers of a subsequent image. Upon locating features in a highest resolution image of the subsequent image, the pose of the textured target may be determined for the subsequent image.

Abstract: Techniques for searching in an image for a particular block of pixels that represents a feature are described herein. The techniques may include generating feature quality information indicating a quality of the feature with respect to blocks of pixels of the image. The feature quality information may be utilized to locate a block of pixels in a subsequent image that corresponds to the feature. For example, the feature quality information may be utilized to determine whether a block of pixels that has a threshold amount of similarity to the feature actually corresponds to the feature.

Abstract: Techniques for searching in an image for a particular block of pixels that represents a feature are described herein. The techniques may include searching within an expanding search area to find a block of pixels that has a threshold amount of similarity to a block of pixels of a preceding image. Upon finding a block of pixels that satisfies the threshold, the techniques may search in the image along a path of increasing similarity to the block of pixels of the preceding image.

Abstract: Architectures and techniques for augmenting content on an electronic device are described herein. In particular implementations, a user may use a portable device (e.g., a smart phone, tablet computer, etc.) to capture images of an environment, such as a room, outdoors, and so on. As the images of the environment are captured, the portable device may send information to a remote device (e.g., server) to determine whether augmented reality content is associated with a textured target in the environment (e.g., a surface or portion of a surface). When such a textured target is identified, the augmented reality content may be sent to the portable device. The augmented reality content may be displayed in an overlaid manner on the portable device as real-time images are displayed.

Abstract: Architectures and techniques for augmenting content on an electronic device are described herein. In particular implementations, a user may use a portable device (e.g., a smart phone, tablet computer, etc.) to capture images of an environment, such as a room, outdoors, and so on. As the images of the environment are captured, the portable device may send information to a remote device (e.g., server) to determine whether augmented reality content is associated with a textured target in the environment (e.g., a surface or portion of a surface). When such a textured target is identified, the augmented reality content may be sent to the portable device. The augmented reality content may be displayed in an overlaid manner on the portable device as real-time images are displayed.

Abstract: Augmented reality and location determination methods and apparatus are disclosed according to some aspects of the description. In one aspect, an augmented reality method includes accessing first location information regarding a location of a user interaction device in a physical world, wherein the user interaction device is configured to generate an augmented reality representation with respect to the physical world, using the first location information, generating second location information which has increased accuracy regarding the location of the user interaction device in the physical world, and communicating augmented data to the user interaction device, and wherein the augmented data comprises the augmented reality representation.

Abstract: Augmented reality and location determination methods and apparatus are disclosed according to some aspects of the description.

Abstract: Augmented reality and location determination methods and apparatus are disclosed according to some aspects of the description. In one aspect, a location determination method includes accessing first location information regarding a location of a user interaction device in a physical world, wherein the user interaction device is configured to generate an augmented reality representation with respect to the physical world, using the first location information, identifying a marker which is proximately located with respect to the location of the user interaction device, accessing an image generated by the user interaction device which includes the marker, and processing the image to determine second location information regarding the location of the user interaction device, and wherein the second location information has increased accuracy with respect to the location of the user interaction device in the physical world compared with the first location information.