Generation of a 3D model of a reference object to perform scaling of a model of a user's head

1. A system, comprising:

a memory including instructions; and

a processor, when accessing the instructions, is configured to:

obtain a set of images that shows a user's head and a reference object;

generate a user's head model based at least in part on the set of images;

generate a reference object model based at least in part on the set of images;

determine an orientation and a size of the reference object model based at least in part on a location of the reference object relative to the user's head in the set of images;

use the reference object model, the orientation of the reference object model, the size of the reference object, and a known dimension of the reference object to determine scaling information;

apply the scaling information to the user's head model to obtain a scaled user's head model; and

wherein to determine the orientation of the reference object model, the processor is further configured to:

generate a facial feature model of a portion of the user's head corresponding to the location of the reference object relative to the user's head in the set of images; and

determine the orientation of the reference object model using the facial feature model of the portion of the user's head.

2. The system of claim 1 , wherein:

the set of images comprises a first set of images;

the processor is further configured to receive a second set of images that shows the user's head but not the reference object; and

the user's head model is further generated based at least in part on the second set of images.

3. The system of claim 1 , wherein the reference object is associated with a standard size or known dimensions.

4. The system of claim 1 , wherein the location of the reference object relative to the user's head in the set of images is predetermined.

5. The system of claim 1 , wherein the processor is further configured to determine a location of the reference object in at least one image of the set of images.

6. The system of claim 1 , wherein the processor is further configured to determine a key facial point in at least one image of the set of images.

7. The system of claim 1 , wherein the user's head model and the reference object model are in the same coordinate system.

8. The system of claim 1 , wherein the processor is further configured to:

place a glasses frame model on the scaled user's head model; and

use stored measurement information associated with the glasses frame model and the placement of the glasses frame model on the scaled user's head model to determine a set of facial measurements associated with the user's head.

9. The system of claim 8 , wherein the processor further configured to determine a respective confidence level or a classification of accuracy corresponding to at least one facial measurement.

10. The system of claim 8 , wherein the processor is further configured to:

compare the set of facial measurements to stored dimensions of a set of glasses frames; and

output one or more recommended glasses frames at a user interface based at least in part on the comparisons.

11. The system of claim 8 , wherein the processor is further configured to:

input the set of facial measurements to a machine learning based model to obtain a set of recommended glasses frames; and

output the set of recommended glasses frames at a user interface.

12. A method for scaling a captured image of a user's head, comprising:

obtaining a set of images that shows a user's head and a reference object;

generating a user's head model based at least in part on the set of images;

generating a reference object model based at least in part on the set of images;

generating a facial feature model of a portion of the user's head corresponding to the location of the reference object relative to the user's head in the set of images;

determining the orientation of the reference object model using the facial feature model of the portion of the user's head;

determining an orientation and a size of the reference object model based at least in part on a location of the reference object relative to the user's head in the set of images;

using the reference object model, the orientation of the reference object model, the size of the reference object, and a known dimension of the reference object to determine scaling information; and

applying the scaling information to the user's head model to obtain a scaled user's head model.

13. The method of claim 12 , wherein:

the set of images comprises a first set of images;

the method further comprises receiving a second set of images that shows the user's head but not the reference object; and

generating the user's head model based at least in part on the second set of images.

14. The method of claim 12 , wherein the reference object is associated with a standard size or known dimensions.

15. The method of claim 12 , wherein the user's head model and the reference object model are in the same coordinate system.

16. The method of claim 12 , further comprising:

placing a glasses frame model on the scaled user's head model; and

using stored measurement information associated with the glasses frame model and the placement of the glasses frame model on the scaled user's head model to determine a set of facial measurements associated with the user's head.

17. The method of claim 12 , further comprising inputting a set of facial measurements to a machine learning based model to obtain a set of recommended glasses frames.