3D Reconstruction and Texture Refinement with Image Enhancement for Improved Visual Quality

This paper proposes a method to generate surface and texture models from rigid objects captured with an RGB-D camera. The method integrates five stages: 1. Point cloud generation from RGB-D images; 2. Surface model generation; 3. Surface model refinement; 4. Texture generation and mapping; 5. Texture enhancement. The use of image processing algorithms for texture enhancement and the refinement of the surface models enables the improvement of the appearance of reconstructed models. The performed experimentation shows the results of the proposed method for five small textured objects. The appearance of reconstructed models was evaluated using a visual quality index; a sharper texture helps to improve such index.