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 geome- try, 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].

@article{Berkiten:2014:MCM,
   author = "Sema Berkiten and Xinyi Fan and Szymon Rusinkiewicz",
   title = "{Merge2-3D}: Combining Multiple Normal Maps with {3D} Surfaces",
   journal = "IEEE International Conference on 3D Vision (3DV)",
   year = "2014",
   month = dec,
   pages = "440--447"
}