A Sequential Color Correction Approach for Texture Mapping of 3D Meshes

Area of Science:

• Computer Graphics
• Image Processing

Background:

• Texture mapping involves coloring 3D meshes with images, but multiple images can cause texture seams due to color dissimilarity.
• Texture seams are visual artifacts that degrade the quality of textured 3D models.

Purpose of the Study:

• To develop a novel color correction method to eliminate texture seams in 3D meshes.
• To improve the visual quality of textured 3D models by ensuring color consistency.

Main Methods:

• Proposed a sequential pairwise color correction approach for multiple images from the same scene.
• Integrated the color correction algorithm into a texture mapping pipeline.
• Utilized a weighted graph to compute color correction paths.

Main Results:

• The proposed approach significantly outperforms state-of-the-art color correction algorithms.
• Effectively eliminated most texture seams, enhancing visual quality.
• Demonstrated superior performance in both qualitative and quantitative evaluations.

Conclusions:

• Sequential pairwise color correction is an effective method for creating seam-free textured 3D meshes.
• The approach offers a significant improvement in the visual fidelity of 3D models.
• This method addresses a key challenge in multi-image texture mapping.