An intraoral scanner includes an image capturing device and a processor. A method of operating the intraoral scanner includes the image capturing device sequentially capturing M images of a buccal bite, the processor generating M sets of buccal bite point clouds according to the M images, the processor matching the M sets of buccal bite point clouds to generate a bite model, when the number of data points of the bite model exceeds a first threshold, the processor computing P sets of bite feature descriptors of the bite model, when a predetermined quantity of bite feature descriptors in a set of bite feature descriptors of the P sets of bite feature descriptors exceeds a second threshold, the processor performing a registration on an upper arch model and a lower arch model to the buccal bite mode to generate a full mouth model.

In one embodiment, a computing system may update a first 3D model of a region of an environment based on comparisons between the first 3D model and first depth measurements of the region generated during a first time period. The computing system may determine that the region is static by comparing the first 3D model to second depth measurements of the region generated during a second time period. The computing system may in response to determining that the region is static, detect whether the region changed after the second time period based on comparisons between a second 3D model of the region and third depth measurements of the region generated after the second time period, the second 3D model having a lower resolution than the first 3D model. The computing system may in response to detecting a change in the region, update the first 3D model of the region.

In one embodiment, a computing system may update a first 3D model of a region of an environment based on comparisons between the first 3D model and first depth measurements of the region generated during a first time period. The computing system may determine that the region is static by comparing the first 3D model to second depth measurements of the region generated during a second time period. The computing system may in response to determining that the region is static, detect whether the region changed after the second time period based on comparisons between a second 3D model of the region and third depth measurements of the region generated after the second time period, the second 3D model having a lower resolution than the first 3D model. The computing system may in response to detecting a change in the region, update the first 3D model of the region.

Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.

Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.

Among other things, embodiments of the present disclosure improve the functionality of computer imaging software and systems by facilitating the manipulation of virtual content displayed in conjunction with images of real-world objects and environments. Embodiments of the present disclosure allow different virtual objects to be moved onto different physical surfaces, as well as manipulated in other ways.

Among other things, embodiments of the present disclosure improve the functionality of computer imaging software and systems by facilitating the manipulation of virtual content displayed in conjunction with images of real-world objects and environments. Embodiments of the present disclosure allow different virtual objects to be moved onto different physical surfaces, as well as manipulated in other ways.

Systems and methods for authorizing rendering of objects in three-dimensional spaces are described. The system may include a first system defining a virtual three-dimensional space including the placement of a plurality of objects in the three-dimensional space, and a second system including a plurality of rules associated with portions of the three-dimensional space and a device coupled to the first system and the second system. The device may receive a request to render a volume of three-dimensional space, retrieve objects for the volume of three-dimensional, retrieve rules associated with the three-dimensional, and apply the rules for the three-dimensional space to the objects.

Systems and methods for authorizing rendering of objects in three-dimensional spaces are described. The system may include a first system defining a virtual three-dimensional space including the placement of a plurality of objects in the three-dimensional space, and a second system including a plurality of rules associated with portions of the three-dimensional space and a device coupled to the first system and the second system. The device may receive a request to render a volume of three-dimensional space, retrieve objects for the volume of three-dimensional, retrieve rules associated with the three-dimensional, and apply the rules for the three-dimensional space to the objects.

A computing device is provided, comprising a processor configured to execute a physics engine. The physics engine is configured to, during narrowphase collision detection of a collision detection phase, identify a set of convex polyhedron pairs, each including a first convex polyhedron from a first rigid body and a second convex polyhedron from a second rigid body. The physics engine is further configured to, for each convex polyhedron pair, determine a separating plane. The physics engine is further configured to perform neighbor welding on pair combinations of the convex polyhedron pairs during the narrowphase collision detection to thereby modify the separating planes of at least a subset of the convex polyhedron pairs. The physics engine is further configured to determine collision manifolds for the convex polyhedron pairs, including for the subset of convex polyhedron pairs having the modified separating planes.