Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: In many computing scenarios, individual profiles are generated from facts specified by, observed about, and/or inferred about individuals, and may be used to personalize services to such individual. Such facts may include details provoking a sensitivity of an individual, and it may be undesirable to reveal the collection and use of such facts to the individual; however, such facts may also enable accurately personalized service. These considerations may be balanced by partitioning the individual profile into a foreground profile, comprising facts that are revealed to the individual, and a background profile, comprising facts that are collected about but not revealed to the individual. Services may be covertly personalized for the individual based on the sensitive information stored in the background profile (e.g., restaurant recommendations that are overtly recommended based on the current location of the individual, and also covertly selected based on an inferred income level of the individual).

Abstract: One or more techniques and/or systems are provided for constructing a complementary calendar and/or a shadow calendar. A user may maintain a primary calendar within which the user may schedule user specified tasks and/or meetings, but may inadvertently omit other entries. Accordingly, a complementary calendar may be constructed based upon inferences derived from user signal data (e.g., information used to identify/infer activities of the user, such as social network profile information, messages, temporal information, locational information, documents, etc.). The complementary calendar may be automatically populated with entries corresponding to inferences derived from user signals and/or real-time conditions (e.g., weather, store hours, traffic conditions, etc.). The primary calendar and the complementary calendar may be merged to create a shadow calendar.

Abstract: Photographs of an object may be oriented with respect to both the geographic location and orientation of the object by registering a 3D model derived from a plurality of photographs of the objects with a 2D image of the object having a known location and orientation. For example, a 3D point cloud of an object created from photographs of the object using a Photosynth™ tool may be aligned with a satellite photograph of the object, where the satellite photograph has location and orientation information. A tool providing scaling and rotation of the 3D model with respect to the 2D image may be used or an automatic alignment may be performed using a function based on object edges filtered at particular angles. Once aligned, data may be recorded that registers camera locations for the plurality of photographs with geographic coordinates of the object, either absolute latitude/longitude or relative to the object.

Abstract: Photographs of an object may be oriented with respect to both the geographic location and orientation of the object by registering a 3D model derived from a plurality of photographs of the objects with a 2D image of the object having a known location and orientation. For example, a 3D point cloud of an object created from photographs of the object using a Photosynth™ tool may be aligned with a satellite photograph of the object, where the satellite photograph has location and orientation information. A tool providing scaling and rotation of the 3D model with respect to the 2D image may be used or an automatic alignment may be performed using a function based on object edges filtered at particular angles. Once aligned, data may be recorded that registers camera locations for the plurality of photographs with geographic coordinates of the object, either absolute latitude/longitude or relative to the object.

Abstract: Photographs of an object may be oriented with respect to both the geographic location and orientation of the object by registering a 3D model derived from a plurality of photographs of the objects with a 2D image of the object having a known location and orientation. For example, a 3D point cloud of an object created from photographs of the object using a Photosynth™ tool may be aligned with a satellite photograph of the object, where the satellite photograph has location and orientation information. A tool providing scaling and rotation of the 3D model with respect to the 2D image may be used or an automatic alignment may be performed using a function based on object edges filtered at particular angles. Once aligned, data may be recorded that registers camera locations for the plurality of photographs with geographic coordinates of the object, either absolute latitude/longitude or relative to the object.

Abstract: Photographs of an object may be oriented with respect to both the geographic location and orientation of the object by registering a 3D model derived from a plurality of photographs of the objects with a 2D image of the object having a known location and orientation. For example, a 3D point cloud of an object created from photographs of the object using a Photosynth™ tool may be aligned with a satellite photograph of the object, where the satellite photograph has location and orientation information. A tool providing scaling and rotation of the 3D model with respect to the 2D image may be used or an automatic alignment may be performed using a function based on object edges filtered at particular angles. Once aligned, data may be recorded that registers camera locations for the plurality of photographs with geographic coordinates of the object, either absolute latitude/longitude or relative to the object.