Methods for guiding a user when performing a three dimensional scan and related mobile devices and computer program products
A method of guiding a user when performing a three-dimensional scan of an object includes determining two-dimensional feature points from two-dimensional captured images of the object, determining three-dimensional coordinates for the two-dimensional feature points, determining a cut plane based on the three-dimensional coordinates that divides the object into a target portion and a cut-away portion, and displaying the target portion of the object on a display using a first indicium and the cut-away portion of the object on the display using a second indicium that is different from the first indicium.
1. A method of guiding a user when performing a three-dimensional scan of an object, comprising:
determining two-dimensional feature points from two-dimensional captured images of the object;
determining three-dimensional coordinates for the two-dimensional feature points;
determining a cut plane based on the three-dimensional coordinates that divides the object into a target portion and a cut-away portion; and
displaying the target portion of the object on a display using a first indicium and the cut-away portion of the object on the display using a second indicium that is different from the first indicium,
wherein the first indicium and the second indicium are audible or touch indicia.
2. The method of claim 1 , wherein determining the three-dimensional coordinates for the two-dimensional feature points comprises:
determining the three-dimensional coordinates for the two-dimensional feature points using a Simultaneous Localization and Mapping (SLAM) method.
3. The method of claim 1 , further comprising:
receiving input from the user selecting use of the cut-plane for the three-dimensional scan.
4. The method of claim 1 , wherein the object is a person and the target portion is a face of the person.
5. The method of claim 1 , wherein the object is a person and the target portion is an entire head of the person.
6. The method of claim 1 , wherein the object comprises a subject and a support structure, the subject being supported by the support structure.
7. The method of claim 1 , wherein the first indicium is a first color and the second indicium is a second color that is different from the first color.
8. A method of guiding a user when performing a three-dimensional scan of an object, comprising:
determining two-dimensional feature points from two-dimensional captured images of the object;
associating a plurality of indicia with a plurality of two-dimensional feature point quality levels;
evaluating a quality of the two-dimensional feature points that were determined from the two-dimensional captured images of the object; and
displaying the object on the display using one or more of the plurality of indicia associated with the plurality of two-dimensional feature point quality levels based on the quality of the two-dimensional feature points that was evaluated.
9. The method of claim 8 , further comprising:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining a precision of the three-dimensional coordinates based on a statistical uncertainty measurement between previously determined ones of the three-dimensional coordinates and subsequently determined ones of the three-dimensional coordinates.
10. The method of claim 9 , wherein the statistical uncertainty measurement is a standard deviation determination.
11. The method of claim 8 , further comprising:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining how much the three-dimensional coordinates have changed between previously determined ones of the three-dimensional coordinates and subsequently determined ones of the three-dimensional coordinates.
12. The method of claim 8 , further comprising:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining when the object moves during performing of the three-dimensional scan.
13. The method of claim 11 , further comprising:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining a density of polygons formed from the three-dimensional coordinates in areas corresponding to at least a portion of the object.
14. The method of claim 11 , further comprising:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining pose information for a camera used to capture the two-dimensional images of the object.
15. A mobile device including a user interface for guiding a user when performing a three-dimensional scan of an object, comprising:
a display;
a processor; and
a computer readable storage medium comprising computer readable program code that when executed by the processor causes the processor to perform operations comprising:
determining two-dimensional feature points from two-dimensional captured images of the object;
associating a plurality of indicia with a plurality of two-dimensional feature point quality levels;
evaluating a quality of the two-dimensional feature points that were determined from the two-dimensional captured images of the object; and
displaying the object on the display using one or more of the plurality of indicia associated with the plurality of two-dimensional feature point quality levels based on the quality of the two-dimensional feature points that was evaluated.
16. The mobile device of claim 15 , wherein the operations further comprise:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining a precision of the three-dimensional coordinates based on a statistical uncertainty measurement between previously determined ones of the three-dimensional coordinates and subsequently determined ones of the three-dimensional coordinates.
17. The mobile device of claim 15 , wherein the operations further comprise:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining how much the three-dimensional coordinates have changed between previously determined ones of the three-dimensional coordinates and subsequently determined ones of the three-dimensional coordinates.
18. The mobile device of claim 15 , wherein the operations further comprise:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining when the object moves during performing of the three-dimensional scan.
19. The mobile device of claim 15 , wherein the operations further comprise:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining a density of polygons formed from the three-dimensional coordinates in areas corresponding to at least a portion of the object.
20. The mobile device of claim 15 , further comprising:
a camera;
wherein the operations further comprise:
determining three-dimensional coordinates for the two-dimensional feature points;
wherein evaluating the quality of the two-dimensional feature points comprises:
determining pose information for a camera used to capture the two-dimensional images of the object.