A seamless texture mapping method with highlight processing
As an important step of 3D reconstruction,texture mapping is directly related to the visual effect of the generative model.Classical texture mapping methods usually employ a simple blending method to obtain the surface texture.The corresponding texture regions are obtained by projecting the model surface onto each texture image,and then blending them to obtain the surface texture.However,due to the inaccuracy of the camera pose,the texture mapping results exhibit evident problems such as blurriness and ghosting.In addition,the texture images acquired in the high-light environment tend to contain highlight areas,resulting in texture color loss and diminished texture authenticity.To address these issues,a seamless texture mapping method capable of effectively eliminating highlight reflections was proposed.The method selected the best texture image for each model surface by assessing the quality of the texture image,and chromaticity consistency was utilized to constrain the optimized camera pose,eliminating obvious texture misalignments.To address the highlight problem,a highlight processing module was proposed,utilizing multi-view image information and employing a two-color reflection model to identify and process the highlight texture.Finally,adjustments were made to the texture color consistency to tackle color inconsistency between textures.The experimental results demonstrated that the proposed algorithm can obtain superior texture mapping results compared with state-of-the-art methods and effectively eliminate highlight reflections.
3D reconstructiontexture mappinghighlight removaltexture renderingpose correction
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