Apparatus, systems and methods for generating 3D model data from a media content event
Three dimension (3D) model generation systems and methods are operable to generate 3D model data corresponding to images of a physical object of interest that are viewed in a presenting media content event. An exemplary embodiment receives a user request that is associated with an interest by the user to obtain a 3D model of a physical object of interest that is being shown in a scene of a currently presenting media content event. A plurality of video image frames are selected from the scene. Then, 3D model data of the physical object of interest is generated based on at least the selected video image frames of the scene.
1. A system comprising:
one or more processing devices; and
memory communicatively coupled with and readable by the one or more processing devices and having stored therein processor-readable instructions which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations comprising:
accessing one or more video image frames of a scene of media content that is presented with a display device;
identifying an object that is represented in the one or more video image frames;
determining whether the object is a candidate for manufacture as a printed 3D object; and
consequent to determining that the object is a candidate for manufacture as a printed 3D object, generating content showing and/or describing the object for a user-selectable option to select the object.
2. The system as recited in claim 1 , the operations further comprising:
causing presentation of the content showing and/or describing the object, where the content is presented with the display device or another display device.
3. The system as recited in claim 1 , where the determining whether the object is a candidate is based at least in part on a size of the object in the scene of the media content.
4. The system as recited in claim 1 , where the determining whether the object is a candidate is based at least in part on determining whether boundaries of the object in the scene of the media content are discernible.
5. The system as recited in claim 1 , the operations further comprising:
identifying a plurality of objects that are represented in the one or more video image frames, where the plurality of objects comprises the object; and
analyzing each object of the plurality of objects to determine whether the object is a candidate for manufacture as a printed 3D object.
6. The system as recited in claim 5 , the operations further comprising:
determining that one or more objects of the plurality of objects are not suitable candidates for manufacture as a printed 3D object.
7. The system as recited in claim 5 , the operations further comprising:
determining that one or more additional objects of the plurality of objects are candidates for manufacture as a printed 3D object;
generating additional content showing and/or describing the additional object for a user-selectable option to select the one or more additional objects; and
causing presentation of the content showing and/or describing the object and the additional content showing and/or describing the one or more additional objects, where the content and the additional content are presented with the display device or another display device.
8. A method comprising:
accessing one or more video image frames of a scene of media content that is presented with a display device;
identifying an object that is represented in the one or more video image frames;
determining whether the object is a candidate for manufacture as a printed 3D object; and
consequent to determining that the object is a candidate for manufacture as a printed 3D object, generating content showing and/or describing the object for a user-selectable option to select the object.
9. The method as recited in claim 8 , further comprising:
causing presentation of the content showing and/or describing the object, where the content is presented with the display device or another display device.
10. The method as recited in claim 8 , where the determining whether the object is a candidate is based at least in part on a size of the object in the scene of the media content.
11. The method as recited in claim 8 , where the determining whether the object is a candidate is based at least in part on determining whether boundaries of the object in the scene of the media content are discernible.
12. The method as recited in claim 8 , further comprising:
identifying a plurality of objects that are represented in the one or more video image frames, where the plurality of objects comprises the object; and
analyzing each object of the plurality of objects to determine whether the object is a candidate for manufacture as a printed 3D object.
13. The method as recited in claim 12 , further comprising:
determining that one or more objects of the plurality of objects are not suitable candidates for manufacture as a printed 3D object.
14. The method as recited in claim 12 , further comprising:
determining that one or more additional objects of the plurality of objects are candidates for manufacture as a printed 3D object;
generating additional content showing and/or describing the additional object for a user-selectable option to select the one or more additional objects; and
causing presentation of the content showing and/or describing the object and the additional content showing and/or describing the one or more additional objects, where the content and the additional content are presented with the display device or another display device.
15. One or more non-transitory, machine-readable media having machine-readable instructions thereon which, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising:
accessing one or more video image frames of a scene of media content that is presented with a display device;
identifying an object that is represented in the one or more video image frames;
determining whether the object is a candidate for manufacture as a printed 3D object; and
consequent to determining that the object is a candidate for manufacture as a printed 3D object, generating content showing and/or describing the object for a user-selectable option to select the object.
16. The one or more non-transitory, machine-readable media as recited in claim 15 , further comprising:
causing presentation of the content showing and/or describing the object, where the content is presented with the display device or another display device.
17. The one or more non-transitory, machine-readable media as recited in claim 15 , where the determining whether the object is a candidate is based at least in part on a size of the object in the scene of the media content.
18. The one or more non-transitory, machine-readable media as recited in claim 15 , where the determining whether the object is a candidate is based at least in part on determining whether boundaries of the object in the scene of the media content are discernible.
19. The one or more non-transitory, machine-readable media as recited in claim 15 , further comprising:
identifying a plurality of objects that are represented in the one or more video image frames, where the plurality of objects comprises the object; and
analyzing each object of the plurality of objects to determine whether the object is a candidate for manufacture as a printed 3D object.
20. The one or more non-transitory, machine-readable media as recited in claim 19 , further comprising:
determining that one or more objects of the plurality of objects are not suitable candidates for manufacture as a printed 3D object.