Abstract: Techniques associated with three-dimensional object modeling are described in various implementations. In one example implementation, a method may include receiving a plurality of two-dimensional images depicting views of an object to be modeled in three dimensions. The method may also include, processing the plurality of two-dimensional images to generate a three-dimensional representation of the object, and analyzing the three-dimensional representation of the object to determine whether sufficient visual information exists in the plurality of two-dimensional images to generate a three-dimensional model of the object. The method may also include, in response to determining that sufficient visual information does not exist for a portion of the object, identifying the portion of the object to a user.

Abstract: A method for object recognition performed by a computing device of an augmented reality system. The method includes receiving an image from a user, determining channels that a user is subscribed to, and determining a list of servers that host the channels that the user is subscribed to by using groups of channels that are distributed among a cluster of servers. The method further includes selecting, using the computing device, which servers from the list of servers are to be used to query the channels that the user is subscribed to. In addition, the method includes querying, using the computing device, the selected servers for the channels that the user is subscribed to with the image to determine at least one object that matches the image from object databases for the channels that the user is subscribed to.

Abstract: Techniques for matching a feature of captured visual data are described in various implementations. In one example implementation, a server from among plural servers matches a feature of captured visual data of a physical target received from an electronic device with features of one of a plurality of partitions. Based on the matching, an object is identified that corresponds to the captured visual data.

Abstract: A probabilistic model is provided based on an output of a matching procedure that matches a particular object to representations of objects, where the probabilistic model relates a probability of an object being present to a number of matching features. The probabilistic model is used for detecting whether a particular object is present in received visual data.

Abstract: Techniques for controlling an augmented reality object are described in various implementations. In one example implementation, a method may include receiving an initialization image captured by an image capture device, the initialization image depicting a background and being free of foreground objects positioned between the background and the image capture device. The method may also include receiving a plurality of subsequent images captured by the image capture device over a period of time, the plurality of subsequent images depicting the background and a foreground object, the foreground object being positioned between the background and the image capture device. The method may also include comparing the initialization image to the plurality of subsequent images to determine positioning of the foreground object over the period of time. The method may also include controlling an augmented reality object based on the positioning of the foreground object over the period of time.

Abstract: Techniques for controlling an augmented reality object are described in various implementations. In one example implementation, a method may include receiving an initialization image captured by an image capture device, the initialization image depicting a background and being free of foreground objects positioned between the background and the image capture device. The method may also include receiving a plurality of subsequent images captured by the image capture device over a period of time, the plurality of subsequent images depicting the background and a foreground object, the foreground object being positioned between the background and the image capture device. The method may also include comparing the initialization image to the plurality of subsequent images to determine positioning of the foreground object over the period of time. The method may also include controlling an augmented reality object based on the positioning of the foreground object over the period of time.