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Published July 2005 | public
Journal Article

TextureMontage: Seamless Texturing of Arbitrary Surfaces From Multiple Images

Abstract

We propose a technique, called TextureMontage, to seamlessly map a patchwork of texture images onto an arbitrary 3D model. A texture atlas can be created through the specification of a set of correspondences between the model and any number of texture images. First, our technique automatically partitions the mesh and the images, driven solely by the choice of feature correspondences. Most charts will then be parameterized over their corresponding image planes through the minimization of a distortion metric based on both geometric distortion and texture mismatch across patch boundaries and images. Lastly, a surface texture inpainting technique is used to fill in the remaining charts of the surface with no corresponding texture patches. The resulting texture mapping satisfies the (sparse or dense) user-specified constraints while minimizing the distortion of the texture images and ensuring a smooth transition across the boundaries of different mesh patches.

Additional Information

© 2005 by the Association for Computing Machinery, Inc. The authors would like to thank Stanford University and Robert W. Sumner for providing the 3D models used in this paper. The images of leopard, tiger and zebra were provided by Mingdong Xie. Special thanks to Kangying Cai and Jianwei Han for using our system to generate the texturing results and Steve Lin for his help on video production. The authors are grateful to the anonymous reviewers for their helpful suggestions and comments. The Caltech authors were partially supported by NSF (CARGO DMS-0221669 and DMS-0221666, CAREER CCR-0133983, and ITR DMS-0453145), DOE (DE-FG02-04ER25657), and Pixar.

Additional details

Created:
August 19, 2023
Modified:
October 24, 2023