3D-based color correction for multi-image texture mapping applications

• Autor(a) principal: Dal’Col, Lucas Rodrigues
• Data de Publicação: 2022
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/34912
• topic: Color correction; Texture mapping; Joint image histogram; Color mapping function

Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured meshes free of texture seams through a process of color correcting all images of the scene. To accomplish this goal, this dissertation proposes two contributions to the state-of-the-art of color correction: the application of 3D information from the scene, namely meshes and point clouds, to build a filtering procedure, in order to produce a more reliable spatial registration between images, thereby increasing the robustness of the color correction procedure; a pairwise-based methodology, capable of color correcting multiple images from the same scene. Moreover, this work presents a color correction algorithm integrated with a texture mapping pipeline that receives uncorrected images, a 3D mesh, and point clouds as inputs, producing a textured mesh and color corrected images as output. Results showcase the corrected images and the textured meshes for three case studies, including comparisons between five variants of the proposed approach with six other color correction approaches. These results show that all variants of the proposed approach outperform the other approaches, both in qualitative and quantitative evaluations. The proposed approach enhances the visual quality of textured meshes by eliminating most of the texture seams.