Improving 3D Reconstruction for Digital Art Preservation

摘要

Achieving a high fidelity triangle mesh from 3D digital reconstructions is still a challenge, mainly due to the harmful effects of outliers in the range data. In this work, we discuss these artifacts and suggest improvements for two widely used volumetric integration techniques: VRIP and Consensus Surfaces (CS). A novel contribution is a hybrid approach, named IMAGO Volumetric Integration Algorithm (IVIA), which combines strengths from both VRIP and CS while adds new ideas that greatly improve the detection and elimination of artifacts. We show that IVIA leads to superior results when applied in different scenarios. In addition, IVIA cooperates with the hole filling process, improving the overall quality of the generated 3D models. We also compare IVIA to Poisson Surface Reconstruction, a state-of-the-art method with good reconstruction results and high performance both in terms of memory usage and processing time.