View Dependent Level-of-Detail for Tree-Based Replicated Geometry

• US 20150178976A1
• Filed: 11/28/2011
• Published: 06/25/2015
• Est. Priority Date: 11/28/2011
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Co, Christopher, STRAUSS, Paul Steven
• Application Number:
  US13/305,619
• Publication Number:
  US 20150178976A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 15/08 Volume rendering
• CPC Class Codes: G06T 2210/36 Level of detail

Abstract

An exemplary method for displaying geographic data in a three-dimensional environment includes identifying a node in a node tree including an instance set. The method also includes identifying a first level-of-detail and a second level-of-detail of a model referenced by the instance set in the node, the level-of-detail having a higher resolution than the first level-of-detail. The method further includes identifying a maximum number of instances at the second level-of-detail to render in a frame period. The method also includes determining an estimated density of the instance set in the node and an estimated density for a scene as a whole. The method further includes determining an LOD distance from a location of the virtual camera to a boundary that separates an instance at the first level-of-detail from an instance at the second level-of-detail.

Claims

1. A computer-implemented method for displaying geographic data in a three-dimensional environment, comprising:

(a) identifying, by one or more computing devices, a first node in a node tree including an instance set, the first node being located within a field of view of a virtual camera that defines a perspective to view content of the three-dimensional environment;

(b) identifying, by the one or more computing devices, a first level-of-detail and a second level-of-detail of a model referenced by the instance set in the first node, the second level-of-detail having a higher resolution than the first level-of-detail;

(c) identifying, by the one or more computing devices, a maximum number of instances at the second level-of-detail to render in a frame period;

(d) determining, by the one or more computing, devices, an estimated density of a scene, the scene including nodes in the field of view of the virtual camera, wherein the determining (d) comprises determining an estimated density of the instance set in the first node; and

(e) determining by the one or more computing devices, for the frame period, a dynamically determined LOD distance from a location of the virtual camera to a boundary that separates an instance at the first level-of-detail from an instance at the second level-of-detail, the LOD distance being dynamically determined based at least on the maximum number of instances identified in (c) and the estimated density of the scene determined in (d);

wherein determining an estimated density of the instance set in the first node comprises determining, by the one or more computing devices, an area in the first node, determining, by the one or more computing devices, a number of instances within the area, and dividing, by the one or more computing devices, a number of instances within the area, wherein the area is determined as a function of the depth of the first node.

2. The method of claim 1, wherein the determining (e) comprises determining the LOD distance to limit a time period needed to render the instances at the first and second levels of detail.

3. The method of claim 1, further comprising:

(f ) when a distance from the location of the virtual camera to a location of a first instance is less than the LOD distance, rendering, by the one or more computing devices, in the frame period the instance at the second level-of-detail; and

(g) when a distance from the location of the virtual camera to a location of the first instance is not less than the LOD distance, rendering, by the one or more computing devices, in the frame period the instance at the first level-of-detail.

4. The method of claim 3, further comprising;

(h) when the maximum number of instances at the second level-of-detail has been rendered in the frame period, rendering, by the one or more computing devices, instances only at the first level-of-detail.

5. The method of claim 1, further comprising:

(f) identifying, by the one or more computing devices, a second node in the node tree including an instance set, the second node being located within the field of view of the virtual camera, and the instance set in the second node including a reference to the model,

wherein the determining (d) comprises determining, by the one or more computing devices, an estimated density of the instance set in the second node.

6. The method of claim 1, wherein the estimated density of the instance set in the first node is included in the model data and the estimated density of the instance set in the first node is a number of instances per unit area.

8. The method of claim 1, wherein the first node, wherein the area substantially satisfies an equation:

9. The method of claim 1, wherein the LOD distance substantially satisfies an equation:

7. (canceled)

10. A system for rendering geographic data in a three-dimensional environment, comprising:

a node identifying engine implemented by one or more processors configured to identify a first node in a node tree including an instance set, the first node being located within a field of view of a virtual camera that defines a perspective to view content of the three-dimensional environment;

a model identifying engine implemented by one or more processors configured to identify a first level-of-detail and a second level-of-detail of a model referenced by the instance set in the first node, the second level-of-detail having a higher resolution than the first level-of-detail; and

an LOD distance determining engine implemented by the one or more processors configured to;

(i) identify a maximum number of instances at the second level-of-detail to render in a frame period,

(ii) determine an estimated density of the instance set in the first node,

(iii) determine an estimated density of a scene, the scene including nodes in the field of view of the virtual camera, and

(iv) determine, for the frame period, a dynamically determined LOD distance from a location of the virtual camera to a boundary that separates an instance at the first level-of-detail from an instance at the second level-of-detail, the LOD distance being dynamically determined based at least on the maximum number of instances identified in (i) and the estimated density of the scene determined in (iii);

wherein when the LOD distance determining engine determines an estimated density of the instance set in the first node, the LOD distance determining engine is configured to determinate an area in the first node, determine a number of instances within the area, and divide the number of instances by the area, wherein the area is determined as a function of a depth of the first node.

11. The system of claim 10, wherein the LOD distance determining engine is configured to determine the LOD distance to limit a time period needed to render the instances at the first and second levels of detail.

12. The system of claim 10, further comprising:

a rendering engine implemented by the one or more processors configured to;

(i) when a distance from the location of the virtual camera to a location of a first instance is less than the LOD distance, render in the frame period the instance at the second level-of-detail and

(ii) when a distance from the location of the virtual camera to a location of the first instance is not less than the LOD distance, render in the frame period the instance at the first level-of-detail.

13. The system of claim 12, wherein the rendering engine is configured to when the maximum number of instances at the second level-of-detail has been rendered in the frame period, render instances only at the first level-of-detail.

14. The system of claim 10, wherein

the node identifying engine is configured to identify a second node in the node tree including an instance set, the second node being located within the field of view of the virtual camera, and the instance, set in the second node including a reference to the model,

wherein when the LOD distance determining engine determines an estimated density of the scene, the LOD distance determining engine is configured to determine an estimated density of the instance set in the second node,

15. The system of claim 10, wherein the estimated density of the instance set in the first node is included in the model data and the estimated data of the instance set in the first node is a number of instances per unit area.

18. The system of claim 10, wherein wherein the LOD distance substantially satisfies an equation:

16-17. -17. (canceled)

19. An apparatus comprising at least one computer readable storage medium encoding instructions thereon that, in response to execution by a computing device, cause the computing device to perform operations, the operations comprising:

(a) identifying a node in a node tree including an instance set, the node being located within a field of view of a virtual camera that defines a perspective to view content of the three-dimensional environment;

(b) identifying a first level-of-detail and a second level-of-detail of a model referenced by the instance set in the node, the second level-of-detail having a higher resolution than the first level-of-detail;

(c) identifying a maximum number of instances at the second level-of-detail to render in a frame period;

(d) determining an estimated density of the instance set in the node;

(e) determining an estimated density of a scene based at least in part on the estimated density of the instance set in the node, the scene including nodes in the field of view of the virtual camera; and

(f ) determining an dynamic determined LOD distance from a location of the virtual camera to a boundary that separates an instance at the first level-of-detail from an instance at the second level-of-detail, the LOD distance being dynamically determined based at least on the maximum number of instances identified in (c) and the estimated density of the scene determined in (e);

wherein determining an estimated density of the instance set in the node comprises determining, by the one or more computing devices, an area in the node, determining, by the one or more computing devices, a number of instances within the area, and dividing, by the one or more computing devices, the number of instances by the area, wherein the area is determined as a function of the depth of the node.

20. The apparatus of claim 19, wherein the determining (f) comprises determining the LOD distance to limit a time period needed to render the instances at the first and second levels of detail,

21. The apparatus of claim 19, the operations further comprising:

(g) when a distance from the location of the virtual camera to a location of a first instance is less than the LOD distance, rendering in the frame period the instance at the second level-of-detail; and

(h) when a distance from the location of the virtual camera to a location of the first instance is not less than the LOD distance, rendering in the frame period the instance at the first level-of-detail,

22. The apparatus of claim 21, the operations further comprising when the maximum number of instances at the second level-of-detail has been rendered in the frame period, rendering instances only at the first level-of-detail.

23. The apparatus of claim 19, wherein the estimated density of the instance set in the first node is included in the model data and the estimated density of the instance set in the first node is a number of instances per unit area.