Abstract: Implementations described herein relate to methods, systems, and computer-readable media to detect counterfeit virtual three-dimensional (3D) objects. In some implementations, a computer-implemented method includes receiving an unauthenticated virtual 3D object. The method further includes determining a plurality of two-dimensional (2D) views of the unauthenticated virtual 3D object. In some implementations, the plurality of 2D views include at least two 2D views and each view of the plurality of 2D views is captured from a respective viewpoint. The method further includes calculating a hash value for each 2D view of the plurality of 2D views. The method further includes determining whether the respective hash values of at least two of the plurality of 2D views match hash values of corresponding 2D views of an authentic virtual 3D object and if it is determined that the respective hash values match, classifying the unauthenticated virtual 3D object as a counterfeit object.

Abstract: Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Abstract: Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Abstract: Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to detect counterfeit virtual three-dimensional (3D) objects. In some implementations, a computer-implemented method includes receiving an unauthenticated virtual 3D object. The method further includes determining a plurality of two-dimensional (2D) views of the unauthenticated virtual 3D object. In some implementations, the plurality of 2D views include at least two 2D views and each view of the plurality of 2D views is captured from a respective viewpoint. The method further includes calculating a hash value for each 2D view of the plurality of 2D views. The method further includes determining whether the respective hash values of at least two of the plurality of 2D views match hash values of corresponding 2D views of an authentic virtual 3D object and if it is determined that the respective hash values match, classifying the unauthenticated virtual 3D object as a counterfeit object.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to detect counterfeit virtual three-dimensional (3D) objects. In some implementations, a computer-implemented method includes receiving an unauthenticated virtual 3D object. The method further includes determining a plurality of two-dimensional (2D) views of the unauthenticated virtual 3D object. In some implementations, the plurality of 2D views include at least two 2D views and each view of the plurality of 2D views is captured from a respective viewpoint. The method further includes calculating a hash value for each 2D view of the plurality of 2D views. The method further includes determining whether the respective hash values of at least two of the plurality of 2D views match hash values of corresponding 2D views of an authentic virtual 3D object and if it is determined that the respective hash values match, classifying the unauthenticated virtual 3D object as a counterfeit object.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to detect counterfeit virtual three-dimensional (3D) objects. In some implementations, a computer-implemented method includes receiving an unauthenticated virtual 3D object. The method further includes determining a plurality of two-dimensional (2D) views of the unauthenticated virtual 3D object. In some implementations, the plurality of 2D views include at least two 2D views and each view of the plurality of 2D views is captured from a respective viewpoint. The method further includes calculating a hash value for each 2D view of the plurality of 2D views. The method further includes determining whether the respective hash values of at least two of the plurality of 2D views match hash values of corresponding 2D views of an authentic virtual 3D object and if it is determined that the respective hash values match, classifying the unauthenticated virtual 3D object as a counterfeit object.