Producing three-dimensional representation based on images of an object
An example method of generating three-dimensional objects based on two-dimensional images of at least part of the object may include: receiving, from a mobile computing device, a notification indicating that a plurality of images depicting an object have been uploaded to a first storage location; transmitting, to a rendering application, a rendering request specifying the first storage location; receiving, from the rendering application, a rendering response indicating that a polygonal mesh representing the images of the object has been stored at a second storage location; transmitting, to an interactive video gaming device, a notification of comprising an identifier of the third second storage location; and making a file comprising the polygonal mesh available for download by the interactive video gaming device.
1. A method, comprising:
receiving, from a mobile computing device, a plurality of images of an object;
receiving, by a processing device, a first polygonal mesh representing at least part of the object, wherein the first polygonal mesh is compliant with a target application topology;
producing, using a plurality of image pixels of a predefined color channel from the plurality of images, a second polygonal mesh representing the part of the object;
modifying the first polygonal mesh in view of the second polygonal mesh; and
producing, using the plurality of images, a texture by selecting, for a surface pixel of the first polygonal mesh, a corresponding image pixel pointed to by a normal vector associated with the surface pixel.
2. The method of claim 1 , wherein the object is represented by a human body.
3. The method of claim 1 , wherein modifying the first polygonal mesh in view of the second polygonal mesh is performed using a metric reflecting a difference between the first polygonal mesh and the second polygonal mesh.
4. The method of claim 1 , wherein modifying the first polygonal mesh in view of the second polygonal mesh is performed using a metric reflecting a difference between a first curvature of the first polygonal mesh and a second curvature of the second polygonal mesh.
5. The method of claim 1 , wherein modifying the first polygonal mesh in view of the second polygonal mesh is performed using a metric reflecting a difference between a first point position of the first polygonal mesh and a second point position of the second polygonal mesh.
6. The method of claim 1 , wherein modifying the first polygonal mesh in view of the second polygonal mesh is performed using a metric reflecting a difference between a first point normal orientation of the first polygonal mesh and a second point normal orientation of the second polygonal mesh.
7. The method of claim 1 , wherein modifying the second polygonal mesh comprises modifying a position of a polygonal face of the second polygonal mesh.
8. The method of claim 1 , wherein modifying the second polygonal mesh comprises modifying an orientation of a polygonal face of the second polygonal mesh.
9. The method of claim 1 , wherein modifying the second polygonal mesh comprises modifying a size of a polygonal face of the second polygonal mesh.
10. The method of claim 1 , wherein producing the second polygonal mesh is performed based on comparing luminance values of certain areas of two or more images.
11. The method of claim 1 , wherein producing the second polygonal mesh is performed based on comparing color gradient values of certain areas of two or more images.
12. The method of claim 1 , further comprising:
producing an edge-finding image based on positions of curvatures corresponding to certain anatomical feature points; and
positioning, based on the edge-finding image, the second polygonal mesh in a three-dimensional space.
13. The method of claim 1 , wherein producing the texture is performed based on image metadata reflecting at least one of: a position of an image-acquiring camera relative to the object or an orientation of the image-acquiring camera relative to the object.
14. The method of claim 1 , further comprising:
transforming the first polygonal mesh by blending certain areas of the first polygonal mesh with corresponding areas of the second polygonal mesh.
15. The method of claim 1 , further comprising:
identifying a skin tone having an average color value within a predetermined rage of an average color value of the texture; and
applying the skin tone to the texture.
16. A method, comprising:
receiving, from a mobile computing device, a plurality of images of an object;
receiving, by a processing device, a first polygonal mesh representing at least part of the object, wherein the first polygonal mesh is compliant with a target application topology;
producing, using a plurality of image pixels of a predefined color channel from the plurality of images, a second polygonal mesh representing the part of the object;
modifying the first polygonal mesh to minimize a metric reflecting at least one of: a difference in positions, orientations, or sizes of corresponding anatomical features in the first polygonal mesh and the second polygonal mesh; and
producing, using the plurality of images, a texture by mapping a plurality of image pixels to a surface defined by the first polygonal mesh.
17. The method of claim 16 , wherein the object is represented by a human body.
18. The method of claim 16 , wherein modifying the second polygonal mesh comprises modifying a position of a polygonal face of the second polygonal mesh.
19. The method of claim 16 , wherein modifying the second polygonal mesh comprises modifying an orientation of a polygonal face of the second polygonal mesh.
20. The method of claim 16 , wherein modifying the second polygonal mesh comprises modifying a size of a polygonal face of the second polygonal mesh.