Abstract: In server/client architectures, the server application and client applications are often developed in different languages and execute in different environments specialized for the different contexts of each application (e.g., low-level, performant, platform-specialized, and stateless instructions on the server, and high-level, flexible, platform-agnostic, and stateful languages on the client) and are often executed on different devices. Convergence of these environments (e.g., server-side JavaScript using Node.js) enables the provision of a server that services client applications executing on the same device. The local server may monitor local events occurring on the device, and may execute one or more server scripts associated with particular local events on behalf of local clients subscribing to the local event (e.g., via a subscription model).

Abstract: One or more techniques and/or systems are provided for ordering images for panorama stitching and/or for providing a focal point indicator for image capture. For example, one or more images, which may be stitched together to create a panorama of a scene, may be stored within an image stack according to one or more ordering preferences, such as where manually captured images are stored within a first/higher priority region of the image stack as compared to automatically captured images. One or more images within the image stack may be stitched according to a stitching order to create the panorama, such as using images in the first region for a foreground of the panorama. Also, a current position of a camera may be tracked and compared with a focal point of a scene to generate a focal point indicator to assist with capturing a new/current image of the scene.

Abstract: In the field of computing, many scenarios involve the execution of an application within a virtual environment of a device (e.g., web applications executing within a web browser). Interactions between applications and device components are often enabled through hardware abstractions or component application programming interfaces (API), but such interactions may provide more limited and/or inconsistent access to component capabilities for virtually executing applications than for native applications. Instead, the device may provide hardware interaction as a service to the virtual environment utilizing a callback model, wherein applications within the virtual environment initiate component request specifying a callback, and the device initiates the component requests with the components and invokes associated callbacks upon completion of a component request.

Abstract: In server/client architectures, the server application and client applications are often developed in different languages and execute in different environments specialized for the different contexts of each application (e.g., low-level, performant, platform-specialized, and stateless instructions on the server, and high-level, flexible, platform-agnostic, and stateful languages on the client) and are often executed on different devices. Convergence of these environments (e.g., server-side JavaScript using Node.js) enables the provision of a server that services client applications executing on the same device. The local server may monitor local events occurring on the device, and may execute one or more server scripts associated with particular local events on behalf of local clients subscribing to the local event (e.g., via a subscription model).

Abstract: A three dimensional (3D) model of an object or environment may be created from images and other information of the object or environment. The 3D model may be created by aligning the images. The 3D model may include surfaces that are based on surfaces of the object or environment. The 3D model may be displayed, exported, modified and so on.

Abstract: Personalized services often utilize individual profiles, such as social network profiles, product purchase histories, or browsing histories. However, personalization may exhibit or imply a familiarity level between the service and the individual that is beyond the individual's comfort level. Presented herein are techniques for adapting personalized services to request supplemental individual information only within a current familiarity stage that has been established by the individual with the service, and only to provide a requested usage of a service. Such solicitation may inform the individual of the intended usage of the requested information. Usages that may involve more sensitive information may be predicated upon requesting and receiving individual consent from the individual to advance to a higher familiarity stage.

Abstract: In server/client architectures, the server application and client applications are often developed in different languages and execute in different environments specialized for the different contexts of each application (e.g., low-level, performant, platform-specialized, and stateless instructions on the server, and high-level, flexible, platform-agnostic, and stateful languages on the client) and are often executed on different devices. Convergence of these environments (e.g., server-side JavaScript using Node.js) enables the provision of a server that services client applications executing on the same device. The local server may monitor local events occurring on the device, and may execute one or more server scripts associated with particular local events on behalf of local clients subscribing to the local event (e.g., via a subscription model).

Abstract: One or more techniques and/or systems are provided for ordering images for panorama stitching and/or for providing a focal point indicator for image capture. For example, one or more images, which may be stitched together to create a panorama of a scene, may be stored within an image stack according to one or more ordering preferences, such as where manually captured images are stored within a first/higher priority region of the image stack as compared to automatically captured images. One or more images within the image stack may be stitched according to a stitching order to create the panorama, such as using images in the first region for a foreground of the panorama. Also, a current position of a camera may be tracked and compared with a focal point of a scene to generate a focal point indicator to assist with capturing a new/current image of the scene.

Abstract: One or more techniques and/or systems are provided for cloud service hosting on a client device. For example, a cloud service may comprise data and/or functionality that may be consumed by apps on client devices. The cloud service may be hosted within a cloud computing environment because a client device may not comprise processing resources capable of hosting the entire cloud service. Accordingly, a local service may be deployed on a client device as a local instantiation of the cloud service. For example, the local service may be a local instantiation of at least a portion of the data and/or functionality of the cloud service. In this way, the local service may utilize fewer resources than the cloud service, and may locally process requests from apps on the client device. For example, a map local service may process requests using map data locally cached from a map cloud service.

Abstract: One or more techniques and/or systems are provided for ordering images for panorama stitching and/or for providing a focal point indicator for image capture. For example, one or more images, which may be stitched together to create a panorama of a scene, may be stored within an image stack according to one or more ordering preferences, such as where manually captured images are stored within a first/higher priority region of the image stack as compared to automatically captured images. One or more images within the image stack may be stitched according to a stitching order to create the panorama, such as using images in the first region for a foreground of the panorama. Also, a current position of a camera may be tracked and compared with a focal point of a scene to generate a focal point indicator to assist with capturing a new/current image of the scene.

Abstract: Among other things, one or more techniques and/or systems are provided for mitigating redundant pixel texture contribution for texturing a geometry. That is, the geometry may represent a multidimensional surface of a scene, such as a city. The geometry may be textured using one or more texture images (e.g., an image comprising color values and/or depth values) depicting the scene from various view directions (e.g., a top-down view, an oblique view, etc.). Because more than one texture image may contribute to texturing a pixel of the geometry (e.g., due to overlapping views of the scene), redundant pixel texture contribution may arise. Accordingly, a redundant textured pixel within a texture image may be knocked out (e.g., in-painted) from the texture image to generate a modified texture image that may be relatively efficient to store and/or stream to a client due to enhanced compression of the modified texture image.

Abstract: Among other things, one or more techniques and/or systems are provided for defining a view direction for a texture image used to texture a geometry. That is, a geometry may represent a multi-dimensional surface of a scene, such as a city. The geometry may be textured using one or more texture images depicting the scene from various view directions. Because more than one texture image may contribute to texturing portions of the geometry, a view direction for a texture image may be selectively defined based upon a coverage metric associated with an amount of non-textured geometry pixels that are textured by the texture image along the view direction. In an example, a texture image may be defined according to a customized configuration, such as a spherical configuration, a cylindrical configuration, etc. In this way, redundant texturing of the geometry may be mitigated based upon the selectively identified view direction(s).

Abstract: Among other things, one or more techniques and/or systems are provided for defining a view direction for a texture image used to texture a geometry. That is, a geometry may represent a multi-dimensional surface of a scene, such as a city. The geometry may be textured using one or more texture images depicting the scene from various view directions. Because more than one texture image may contribute to texturing portions of the geometry, a view direction for a texture image may be selectively defined based upon a coverage metric associated with an amount of non-textured geometry pixels that are textured by the texture image along the view direction. In an example, a texture image may be defined according to a customized configuration, such as a spherical configuration, a cylindrical configuration, etc. In this way, redundant texturing of the geometry may be mitigated based upon the selectively identified view direction(s).

Abstract: One or more techniques and/or systems are provided for ordering images for panorama stitching and/or for providing a focal point indicator for image capture. For example, one or more images, which may be stitched together to create a panorama of a scene, may be stored within an image stack according to one or more ordering preferences, such as where manually captured images are stored within a first/higher priority region of the image stack as compared to automatically captured images. One or more images within the image stack may be stitched according to a stitching order to create the panorama, such as using images in the first region for a foreground of the panorama. Also, a current position of a camera may be tracked and compared with a focal point of a scene to generate a focal point indicator to assist with capturing a new/current image of the scene.

Abstract: A three dimensional (3D) model of an object or environment may be created from images and other information of the object or environment. The 3D model may be created by aligning the images. The 3D model may include surfaces that are based on surfaces of the object or environment. The 3D model may be displayed, exported, modified and so on.

Abstract: One or more techniques and/or systems are provided for ordering images for panorama stitching and/or for providing a focal point indicator for image capture. For example, one or more images, which may be stitched together to create a panorama of a scene, may be stored within an image stack according to one or more ordering preferences, such as where manually captured images are stored within a first/higher priority region of the image stack as compared to automatically captured images. One or more images within the image stack may be stitched according to a stitching order to create the panorama, such as using images in the first region for a foreground of the panorama. Also, a current position of a camera may be tracked and compared with a focal point of a scene to generate a focal point indicator to assist with capturing a new/current image of the scene.

Abstract: In the field of computing, many scenarios involve the execution of an application within a virtual environment of a device (e.g., web applications executing within a web browser). Interactions between applications and device components are often enabled through hardware abstractions or component application programming interfaces (API), but such interactions may provide more limited and/or inconsistent access to component capabilities for virtually executing applications than for native applications. Instead, the device may provide hardware interaction as a service to the virtual environment utilizing a callback model, wherein applications within the virtual environment initiate component request specifying a callback, and the device initiates the component requests with the components and invokes associated callbacks upon completion of a component request.

Abstract: A three dimensional (3D) model of an object or environment may be created from images and other information of the object or environment. The 3D model may be created by aligning the images. The 3D model may include surfaces that are based on surfaces of the object or environment. The 3D model may be displayed, extorted, modified and so on.

Abstract: Personalized services often utilize individual profiles, such as social network profiles, product purchase histories, or browsing histories. However, personalization may exhibit or imply a familiarity level between the service and the individual that is beyond the individual's comfort level. Presented herein are techniques for adapting personalized services to request supplemental individual information only within a current familiarity stage that has been established by the individual with the service, and only to provide a requested usage of a service. Such solicitation may inform the individual of the intended usage of the requested information. Usages that may involve more sensitive information may be predicated upon requesting and receiving individual consent from the individual to advance to a higher familiarity stage.

Abstract: In the field of computing, many scenarios involve the execution of an application within a virtual environment of a device (e.g., web applications executing within a web browser). Interactions between applications and device components are often enabled through hardware abstractions or component application programming interfaces (API), but such interactions may provide more limited and/or inconsistent access to component capabilities for virtually executing applications than for native applications. Instead, the device may provide hardware interaction as a service to the virtual environment utilizing a callback model, wherein applications within the virtual environment initiate component request specifying a callback, and the device initiates the component requests with the components and invokes associated callbacks upon completion of a component request.