Multipoint SLAM capture

A storage device comprising:

• at least one computer medium that is not a transitory signal and that comprises instructions executable by at least one processor to:
• receive, from a first device, at least first feature points in a point cloud;
• receive, from a second device, at least second feature points in a point cloud;
• and
• generate a simultaneous localization and mapping (SLAM) map using the first and second feature points;
• and
• responsive to determining that the SLAM map has a first feature, alter presentation of a computer game simulation on at least one of the first and second devices.

An assembly comprising:

• at least first and second computer game headsets, each comprising at least one respective camera;
• a processor programmed with instructions to:
• generate, using the respective camera of the first computer game headset, at least a first image of feature points;
• receive from at least the second computer game headset, at least a second image of feature points;
• generate a data structure using the first and second images;
• and
• determine a distance to a computer game headset corresponding to feature points in the first image least in part based on a size of the feature points.

An assembly comprising:

• at least first and second computer game headsets, each comprising at least one respective camera;
• a processor programmed with instructions to:
• generate, using the respective camera of the first computer game headset, at least a first image of feature points;
• receive from at least the second computer game headset, at least a second image of feature points;
• generate a data structure using the first and second images;
• and
• responsive to determining that the data structure has a blind spot, alter presentation of a computer game simulation on at least one of the first and second computer game headsets.

A method comprising:

• receiving, from a first device, at least first feature points in a point cloud;
• receiving, from a second device, at least second feature points in a point cloud;
• determining a distance to a first feature point at least in part based on a size of the first feature point;
• and
• generating a simultaneous localization and mapping (SLAM) map at least in part using at least some of the first feature points.