Methods and systems for personalizing visitor experience at a non-profit venue using high-resolution composite photography
A method for augmenting a photograph taken by a visitor at a non-profit venue, comprising: executing an application on a mobile computing device carried by the visitor, which, when executed, performs the steps of: analyzing an original photograph taken by a visitor to a non-profit venue to determine a location of a subject of the original photograph; determining a set of characteristics of the original photograph; accessing digital imagery from a database of high-resolution imagery of the non-profit venue; creating a high-resolution digital image having a corresponding set of characteristics to those of the original photograph by using the digital imagery from the database; masking the original photograph based on differences between the high-resolution digital image and the original photograph taken by the visitor; and compositing the original photograph with the high-resolution digital image to create a high-resolution composite photograph accentuating the characteristics that correspond to the philanthropic campaign.
1. A method for augmenting a photograph taken by a visitor at a non-profit venue, comprising:
executing an application on a mobile computing device carried by a visitor to a non-profit venue, which, when executed, performs the steps of:
determining personalized interest data indicating personal philanthropic interests of the visitor;
identifying, from a plurality of potential philanthropic campaigns and based on the personalized interest data, a philanthropic campaign that corresponds to the personal philanthropic interests of the visitor;
analyzing an original photograph taken by the visitor to determine a location of a subject of the original photograph;
determining a set of characteristics of the original photograph that correspond to characteristics of the philanthropic campaign;
accessing digital imagery from a database of high-resolution imagery of the non-profit venue;
creating a high-resolution digital image having a corresponding set of characteristics to those of the original photograph by using the digital imagery from the database;
masking the original photograph based on differences between the high-resolution digital image and the original photograph taken by the visitor; and
compositing the original photograph with the high-resolution digital image to create a high-resolution composite photograph accentuating the characteristics that correspond to the philanthropic campaign.
2. The method of claim 1 , wherein the high-resolution imagery includes a 3D model of the location of the subject.
3. The method of claim 1 , wherein the high-resolution imagery contains 3D metadata.
4. The method of claim 1 , wherein the high-resolution imagery includes a light-field photographic image.
5. The method of claim 1 , further comprising re-shading images of human subjects captured in the original photograph to blend with the high-resolution imagery from the database.
6. The method of claim 1 , further comprising providing the high-resolution composite photograph to the visitor on a website or within the application on the mobile computing device carried by the visitor.
7. The method of claim 1 , wherein the set of characteristics includes at least one of location, orientation, point of view and lighting characteristics.
8. The method of claim 1 , wherein analyzing the original photograph taken by the visitor to determine the location of the subject of the original photograph comprises matching the original photograph to the digital imagery from the database of high-resolution imagery of the non-profit venue.
9. The method of claim 8 , wherein the high-resolution imagery includes a 3D model of the location of the subject.
10. A method for augmenting a video taken by a visitor at a non-profit venue, comprising:
executing an application on a mobile computing device carried by a visitor, which, when executed, performs the steps of:
determining personalized interest data indicating personal philanthropic interests of the visitor;
identifying, from a plurality of potential philanthropic campaigns and based on the personalized interest data, a philanthropic campaign that corresponds to the personal philanthropic interests of the visitor;
analyzing an original video taken by a visitor to a non-profit venue to determine locations of subjects of the original video;
determining a set of characteristics of the original video that correspond to characteristics of the philanthropic campaign;
accessing digital imagery from a database of high-resolution imagery of the non-profit venue;
creating a high-resolution motion path sequence of images having a corresponding set of characteristics to those of the original video by using the digital imagery from the database;
masking the original video based on differences between the high-resolution motion path sequence of images and the original video taken by the visitor; and
compositing the original video with the high-resolution motion path sequence of images to create a high-resolution composite video accentuating the characteristics that correspond to the philanthropic campaign.
11. The method of claim 10 , wherein the high-resolution imagery includes a 3D model of the locations of the subjects.
12. The method of claim 10 , wherein the high-resolution imagery contains 3D metadata.
13. The method of claim 10 , wherein the high-resolution imagery includes a light-field photographic image.
14. The method of claim 10 , further comprising re-shading images of human subjects captured in the original video to blend with the high-resolution imagery from the database.
15. The method of claim 10 , further comprising providing the high-resolution composite video to the visitor on a website or within the application on the mobile computing device carried by the visitor.
16. The method of claim 10 , wherein the set of characteristics includes at least one of location, orientation, lighting, and motion path characteristics.
17. The method of claim 10 , wherein analyzing the original video taken by the visitor to determine locations of subjects of the original video comprises matching the original video to the digital imagery from the database of high-resolution imagery of the non-profit venue.
18. The method of claim 17 , wherein the high-resolution imagery includes a 3D model of the locations of the subjects.