An Image Viewpoint Transformation Method Based on a Single Input Image

Abstract

The invention discloses an image viewpoint transformation method based on a single input image. The method comprises the following steps: step one, interactively deducting a cube structure contained in an image and marking a typical line in the image; step two, reconstructing a three-dimensional scene through combination with the space characteristics of a cube object by use of the imaging principle of a pinhole camera, the three-dimensional scene being capable of completely simulating a real three-dimensional scene during viewpoint transformation; step three, under the condition that a focal length is not changed, through the viewpoint transformation, projecting the reconstructed three-dimensional scene to an image plane corresponding to a new viewpoint; step four, according to interaction constraints, performing Delaunay triangle gridding with constraints; step five, by taking a scene theme structure constraint obtained through reprojection in step three as deformation driving, solving a grid deformation energy equation formed in step four by use of a method for solving an energy equation; and step six, by use of a target grid obtained through solving, mapping grid textures corresponding to the target grid in an original image one by one to generate a target image.

Description

technical field [0001] The invention relates to an image viewpoint transformation method based on a single input image, which belongs to the field of computer image processing and multimedia information technology processing. Background technique [0002] With the improvement of digital camera hardware and the development of image editing software, people can more easily obtain high-quality images. However, the photos taken by a large number of photographers are often unnatural due to the selection of the angle of view. For example, a photographer may take a picture of a building that was originally perpendicular to the ground, making the shooting effect unnatural. How to correct such a tilted photo of the main structure has a very good application value. In this case, people began to study the problem of image viewpoint conversion. The traditional method is to first use multiple images of the same scene for registration, then perform 3D reconstruction, and then use the ex...

AI Technical Summary

Problems solved by technology

The significant disadvantage of this method is that it requires multiple input images or requires a lot of human interaction to accurately reconstruct the 3D scene, which is not feasible for a slightly complex 3D scene, so the applicability and efficiency of this type of method are very low, and the effect also poor

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