DocumentCode
263742
Title
Merge2-3D: Combining Multiple Normal Maps with 3D Surfaces
Author
Berkiten, Sema ; Fan, Xinyi ; Rusinkiewicz, Szymon
Volume
1
fYear
2014
fDate
8-11 Dec. 2014
Firstpage
440
Lastpage
447
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].
Keywords
computational geometry; image enhancement; image reconstruction; image registration; iterative methods; solid modelling; stochastic processes; 2-step iterative registration algorithm; 3D models; 3D surfaces; Merge2-3D; Poisson surface reconstruction; alignment optimization; mesh enhancement; multiple normal maps; rough 3D geometry enhancement; unaligned 2D normal maps; Geometry; Image reconstruction; Rough surfaces; Solid modeling; Surface reconstruction; Surface roughness; Three-dimensional displays; 2.5/3D alignment; mesh enhancement; surface normals;
fLanguage
English
Publisher
ieee
Conference_Titel
3D Vision (3DV), 2014 2nd International Conference on
Conference_Location
Tokyo
Type
conf
DOI
10.1109/3DV.2014.22
Filename
7035856
Link To Document