An automatic light source arrangement method based on scene night scene image

Abstract

The invention discloses a scene night view map-based automatic light source arrangement method, and belongs to the technical field of computer graphics application. The method comprises the following steps of: firstly carrying out pre-processing on an input night view map, wherein the preprocessing comprises picture clipping, segmentation, graying and binarization to generate a target comparison image; estimating inner and outer parameters at a camera position, traversing the camera parameters, calculating projection figure obtained after each parameter change, establishing a measure function through comparing profile data of a target figure, and selecting a camera parameter with the best orientation; carrying controllable number resampling on a three-dimensional model, combining night view map information to calculate position and color information of a light source sampling point, generating relatively uniform discrete light source information, finally carrying multi-light source rendering by adoption of a Lambert reflection model, and displaying a restoration effect.

Description

technical field [0001] The invention relates to a method for automatically arranging light sources based on scene night scene images, and belongs to the field of computer graphics. Background technique [0002] In our daily life, we can see all kinds of beautiful and gorgeous architectural night scenes. In the 3D world, in order to render a beautiful night scene, it is necessary to edit the lighting of the scene. Typically, scenes are manually edited by artists. However, in a large-scale model, there are thousands or even tens of thousands of point light sources. Simple manual editing and mouse clicking are not only cumbersome, but also inefficient. An automated method is needed to complete this work. [0003] The core of arranging light sources based on night scene images is camera calibration. The current camera calibration methods include the camera calibration method based on active vision, which is to calibrate the camera when certain motion information of the camera...

AI Technical Summary

Problems solved by technology

The disadvantage is that this method cannot provide an ideal initial value for nonlinear optimization, because it uses the image points of the entire image when solving the initial value of the camera parameters in the first step

However, so far, the previous method of camera calibration based on a single image has not shown good results.

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