Generating static scenes

1. A computer-implemented method comprising:

collecting photos associated with objects in at least one location, wherein one or more of the photos are captured using one or more respective devices that are operable to track a gaze of a user;

collecting attention information associated with one or more of the objects, wherein the attention information is based on tracking gazes of one or more users and based on one or more fixation points of one or more objects in the least one location;

generating an attention map based on the attention information;

associating a color with each object in the at least one location, wherein each color corresponds to a size of an attention value; and

generating a model of the at least one location based on the photos and the attention map, wherein the generating of the model comprises combining the photos into a panorama of the at least one location based on the one or more fixation points, and wherein the method further comprises iteratively replacing one or more photos in the panorama with replacement photos based on one or more predetermined replacement criteria.

2. A computer-implemented method comprising:

collecting photos associated with objects in at least one location;

collecting attention information associated with one or more of the objects, wherein the attention information is based on tracking gazes of one or more users and based on one or more fixation points of one or more objects in the least one location;

generating an attention map based on the attention information;

associating a color with each object in the at least one location, wherein each color corresponds to a size of an attention value; and

generating a model of the at least one location based on the photos and the attention map, wherein the generating of the model comprises combining the photos into a panorama of the at least one location based on the one or more fixation points.

3. The method of claim 2 , wherein one or more of the photos are captured using one or more respective devices that are operable to track a gaze of a user.

4. The method of claim 2 , wherein the generating of the model comprises:

identifying the objects in the attention map;

selecting photos for each of the objects based on one or more predetermined selection criteria; and

combining the photos into the panorama of the at least one location.

5. The method of claim 2 , wherein the generating of the model comprises:

identifying the objects in the attention map;

selecting photos for each of the objects based on one or more predetermined selection criteria, wherein the one or more predetermined selection criteria is based on one or more of resolution, quality, field of view, and level of attention; and

combining the photos into the panorama of the at least one location.

6. The method of claim 2 , wherein the method further comprises iteratively replacing one or more photos in the panorama with replacement photos based on one or more predetermined replacement criteria, and wherein the replacement criteria may include one or more of quality and resolution.

7. The method of claim 2 , wherein the method further comprises enabling a user to overlay one or more user-selected photos over one or more portions of the panorama.

8. A system comprising:

one or more processors; and

logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to perform operations comprising:

collecting photos associated with objects in at least one location;

collecting attention information associated with one or more of the objects, wherein the attention information is based on tracking gazes of one or more users and based on one or more fixation points of one or more objects in the least one location;

generating an attention map based on the attention information;

associating a color with each object in the at least one location, wherein each color corresponds to a size of an attention value; and

generating a model of the at least one location based on the photos and the attention map, wherein the generating of the model comprises combining the photos into a panorama of the at least one location based on the one or more fixation points.

9. The system of claim 8 , wherein one or more of the photos are captured using one or more respective devices that are operable to track a gaze of a user.

10. The system of claim 8 , wherein the attention information is based on tracking gazes of one or more users.

11. The system of claim 8 , wherein, to generate the model, the logic when executed is further operable to perform operations comprising:

identifying the objects in the attention map;

selecting photos for each of the objects based on one or more predetermined selection criteria; and

combining the photos into the panorama of the at least one location.

12. The system of claim 8 , wherein, to generate the model, the logic when executed is further operable to perform operations comprising:

identifying the objects in the attention map;

selecting photos for each of the objects based on one or more predetermined selection criteria, wherein the one or more predetermined selection criteria is based on one or more of resolution, quality, field of view, and level of attention; and

combining the photos into the panorama of the at least one location.

13. The system of claim 8 , wherein the logic when executed is further operable to perform operations comprising iteratively replacing one or more photos in the panorama with replacement photos based on one or more predetermined replacement criteria.

14. The system of claim 8 , wherein the logic when executed is further operable to perform operations comprising iteratively replacing one or more photos in the panorama with replacement photos based on one or more predetermined replacement criteria, and wherein the replacement criteria may include one or more of quality and resolution.