Three-dimensional significance based image warping method

Abstract

The invention discloses a three-dimensional significance based image warping method. The three-dimensional significance based image warping method is characterized by the following steps of 1 obtaining a depth map of a target image through depth data; 2 combining the depth map and a two-dimensional model to construct a three-dimensional significance model; 3 updating a weight between the depth data and the two-dimensional model according to distribution of image gradation in a self-adapting mode; 4 calculating the gradient of an image energy function through the three-dimensional significance model; 5 extracting an image two-dimensional edge and a depth contour feature and generating into a triangular mesh through feature points; 6 establishing a target function and increasing constraint; 7 requesting an extreme value for the target function and constructing a transformational relation. The three-dimensional significance based image warping method can combine the depth information and the two-dimensional significance and increases the warping robustness.

Description

technical field [0001] The invention belongs to the field of image processing, and mainly relates to an image warping method based on three-dimensional saliency. Background technique [0002] With the popularity of mobile devices such as smart phones and tablet computers, users are accustomed to uploading the photos they have taken to social networking sites to share with friends. Considering the different models of mobile devices used by users, how to make the photos shared by users can be well displayed on different terminals is one of the hot topics in the field of computer vision research. [0003] In response to the above problems, researchers have proposed some methods, but due to distortion and insufficient detection accuracy, the deformation of objects in the image and the loss of some important information have always plagued researchers. Recently, the article "Saliency detection for content-aware image resizing" was published on the IEEE International Conference o...

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Problems solved by technology

[0004] The present invention aims to solve the problems that most current image distortion methods will deform objects in the image, lose some important information and cannot effectively distort images with complex scenes during the process of distorting the target image. 3D saliency image warping method, which can combine depth information with 2D saliency and enhance the robustness of distortion

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