Model creation using visual markup languages

A system for defining a model, comprising:

• one or more processors;
• memory storing one or more modules for execution by the one or more processors, the one or more modules including instructions for:
• analyzing one or more images of a physical space that include a plurality of distinctive visual features, wherein:
• the plurality of distinctive visual features include a first marker associated with first semantic information and a second marker associated with second semantic information;
• the first semantic information and the second semantic information are defined in accordance with a markup language that specifies rules for combining semantic information from a plurality of markers;
• and
• analyzing the one or more images includes:
• determining a pose of the first marker;
• and
• determining a pose of the second marker;
• and
• defining a model based at least in part on the pose of the first marker, the pose of the second marker, the first semantic information and the second semantic information, wherein defining the model includes:
• approximating a first model component based on the pose of the first marker and the first semantic information;
• and
• modifying the first model component based on the pose of the second marker and the second semantic information.

A computer-implemented method for defining a model, comprising:

• at a computer system having one or more processors and memory storing one or more programs that when executed by the one or more processors cause the computer system to perform the method, the method comprising:
• analyzing a plurality of images of a space in a static configuration, at least one of the images including a plurality of distinctive visual features, wherein the plurality of distinctive visual features include:
• one or more distinctive visual features corresponding to a physical object in the space in the static configuration;
• and
• a predefined marker associated with respective semantic information specifying respective dynamic behavior;
• and
• defining a model in accordance with the plurality of distinctive visual features and the respective semantic information, wherein:
• the model includes a model aspect corresponding to the physical object;
• and
• the model aspect is configured to be manipulated in accordance with the respective dynamic behavior specified by the predefined marker.

A system for defining a model, comprising:

• one or more processors;
• memory storing one or more modules for execution by the one or more processors, the one or more modules including instructions for:
• analyzing a plurality of images of a space in a static configuration, at least one of the images including a plurality of distinctive visual features, wherein the plurality of distinctive visual features include:
• one or more distinctive visual features corresponding to a physical object in the space in the static configuration;
• and
• a predefined marker associated with respective semantic information specifying respective dynamic behavior;
• and
• defining a model in accordance with the plurality of distinctive visual features and the respective semantic information, wherein:
• the model includes a model aspect corresponding to the physical object;
• and
• the model aspect is configured to be manipulated in accordance with the respective dynamic behavior specified by the predefined marker.