학술논문
Merge2-3D: Combining Multiple Normal Maps with 3D Surfaces
Document Type
Conference
Author
Source
2014 2nd International Conference on 3D Vision 3D Vision (3DV), 2014 2nd International Conference on. 1:440-447 Dec, 2014
Subject
Language
ISSN
1550-6185
Abstract
We propose an approach to enhance rough 3D geometry with fine details obtained from multiple normal maps. We begin with unaligned 2D normal maps and rough geometry, and automatically optimize the alignments through 2-step iterative registration algorithm. We then map the normals onto the surface, correcting and seamlessly blending them together. Finally, we optimize the geometry to produce high-quality 3D models that incorporate the high-frequency details from the normal maps. We demonstrate that our algorithm improves upon the results produced by some well-known algorithms: Poisson surface reconstruction [1] and the algorithm proposed by Nehab et al. [2].