Navigation Method Based on 3D Scene

Abstract

The invention provides a navigation method based on a three-dimensional scene, and the method comprises the steps: calculating an interest value of a view angle of a camera based on the height, size, irregularity and uniqueness of a building in the scene; generating a track parameter of the camera according to the interest value of the view angle, so as to carry out navigation according to the track parameter. Based on the height, size, irregularity and uniqueness of the building in the scene, the method obtains a reasonable interest value of the view angle, and can achieve high-quality navigation.

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to a three-dimensional scene-based navigation method. Background technique [0002] In the past ten years, with the rapid development of 3D modeling technology, a large number of 3D scenes such as Google Earth have been produced rapidly, but the navigation technology based on 3D scenes has not been well developed. [0003] At present, there have been many technical researches on camera control and three-dimensional virtual scene navigation, mainly about automatic and semi-automatic technologies for viewing angle selection, camera trajectory selection and camera motion control. [0004] Research related to viewing angle selection, for example, using viewing angle entropy to measure the distribution of building surfaces that can be seen under the current viewing angle; using descriptors that include building surface visibility, object importance, curvature, contour, and topology compl...

AI Technical Summary

Problems solved by technology

[0007] The current automatic navigation methods for 3D scenes mainly have the following problems: first, many navigation technologies are still based on fixed camera speed, viewing angle, and height, without considering the characteristics of the scene and the user's attention; second, Many navigation technologies are not yet fully automatic, and most still require users to do a lot of calibration and input; third, existing navigation technologies have strong limitations in use and can only be used in a specific scene; fourth, navigation The visual experience in the process is not continuous and smooth enough

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