Three-dimensional object model texture mapping algorithm based on tone mapping and image smoothing

Abstract

The invention discloses a three-dimensional object model texture mapping algorithm based on tone mapping and image smoothing. The method comprises the first step of selecting a plurality of sub-areas from adjacent two-dimensional color images, the second step of matching the sub-areas between the adjacent two-dimensional color images and the third step of calculating the tone mapping function of boundaries on the sub-areas. One optimal tone mapping function is selected for every two adjacent color images to carry out the tone mapping on an image, and the chromatic aberration on the boundaries is further reduced through the image smoothing method. The texture characteristics of the sub-areas of an object are taken into consideration through the concept of combining the image smoothing with the tone mapping, and therefore the three-dimensional object model texture mapping algorithm has very good robustness and can effectively eliminate the chromatic aberration produced in the three-dimensional model texture mapping.

Description

technical field [0001] The invention relates to a three-dimensional object model modeling algorithm, in particular to a three-dimensional object model texture mapping algorithm based on tone mapping and image smoothing. Background technique [0002] 3D object model modeling technology refers to the virtual reconstruction of objects in the objective world through 3D modeling. It is one of the important research contents in the field of computer vision and computer graphics. It is used in medical equipment, digital entertainment, e-commerce, etc. The field has a wide range of application value. Among them, how to make the reconstructed 3D model have the realistic texture of the actual object is one of the key technologies in the current 3D object model modeling. [0003] In the texture mapping algorithm of the three-dimensional object model, after searching the literature of the prior art, it was found that in 1983, Burt et al. published in "ACM Transactions on Graphics" (ACM...

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Problems solved by technology

However, this method can only be used under strictly controlled lighting conditions, and its application range is limited.

In addition, in 2007, Lempitsky et al. published the paper "Seamless Mosaicing of Image-Based Texture Maps" on pages 1 to 6 of "IEEE Conference on Computer Vision and Pattern Recognition" (IEEE International Conference on Computer Vision and Pattern Recognition). (Seamless mosaic algorithm in image-based texture mapping technology) by constructing a special energy function about the texture boundary, using the framework of Markov random field energy optimization to solve the problem of texture boundary reduction, in the constructed energy function At the same time, a seam filling method is also proposed. Through the analysis of the gradient space of the texture image, an ideal gradient domain model is established, so as to compensate the image texture to make up for the seam at the boundary, but This work did not take into account the obvious color tone differences between different images when reconstructing real-world objects, making it difficult to effectively eliminate the seams in texture mapping results

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