Multi-view stereo reconstruction method based on Internet photo gallery

Abstract

The invention relates to a multi-view stereo reconstruction method based on an Internet photo gallery which utilizes a plurality of photos of the same scene at different viewing angles obtained from the Internet so as to restore the sparse three-dimensional point cloud of the scene for obtaining camera parameter, and then densify the sparse three-dimensional point cloud for restoring the dense three-dimensional point cloud of the scene. The method provided by the invention comprises the following specific steps that the geometry and movement at the scene are stored at the same time, that is, the camera is demarcated and the sparse three-dimensional point cloud of the scene is restored; image screening is performed, a nearest image collection is selected for each photo, and an optimal image sub collection is selected for each three-dimensional point; the three-dimensional points are densified so as to count out new three-dimensional points, and an area generation method of taking the conventional three-dimensional points as a center and generating towards the near area is adopted; and the larger-error three-dimensional points are filtered and got rid of. The invention provides a photo screening method, avoids redundant calculation, upgrades the speed of model generation, filters and gets rid of inaccurate three-dimensional points, and improves the accuracy of the model generation.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a multi-view stereo reconstruction method based on Internet photo collections. Background technique [0002] With the popularity of digital cameras and the Internet, people have taken a large number of photos of outdoor scenes and uploaded them to photo sharing websites, forming a massive Internet photo collection. Their advantages include: wide coverage, covering almost the world's buildings, sculptures and other places of interest; there are often a large number of different photos reflecting the same scene in different viewpoints, time (all the year round, from morning to night), light conditions Different appearances of scenes (cloudy, sunny, etc.); the acquisition cost is very low, for example, more than 20,000 high-resolution photos of Tiananmen Square and nearly 10,000 Temple of Heaven can be found from Google. But on the other hand, the lighting conditions of these photos ...

AI Technical Summary

Problems solved by technology

Traditional photometric stereo methods often require the use of controllable or known directional light sources, making them unsuitable for internet photos

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