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http://dx.doi.org/10.15701/kcgs.2015.21.5.37

Hybrid Model Representation for Progressive Indoor Scene Reconstruction  

Jung, Jinwoong (POSTECH)
Jeon, Junho (POSTECH)
Yoo, Daehoon (Korea Military Academy)
Lee, Seungyong (POSTECH)
Publication Information
Journal of the Korea Computer Graphics Society / v.21, no.5, 2015 , pp. 37-44 More about this Journal
Abstract
This paper presents a novel 3D model representation, called hybrid model representation, to overcome existing 3D volume-based indoor scene reconstruction mechanism. In indoor 3D scene reconstruction, volume-based model representation can reconstruct detailed 3D model for the narrow scene. However it cannot reconstruct large-scale indoor scene due to its memory consumption. This paper presents a memory efficient plane-hash model representation to enlarge the scalability of the indoor scene reconstruction. Also, the proposed method uses plane-hash model representation to reconstruct large, structural planar objects, and at the same time it uses volume-based model representation to recover small detailed region. Proposed method can be implemented in GPU to accelerate the computation and reconstruct the indoor scene in real-time.
Keywords
Large-scale scene reconstruction; real-time algorithm; geometry reconstruction; RGBD images;
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1 R. Newcombe, A. Davison, S. Izadi, P. Kohli, O. Hilliges, J. Shotton, D. Molyneaux, S. Hodges, D. Kim and A. Fitzgibbon, "KinectFusion: Real-time dense surface mapping and tracking", IEEE international symposium on Mixed Augumented Reality, 127-136, 2011
2 R. A. Newcombe, S. J. Lovegrove, and A. J. Davison. "DTAM: Dense tracking and mapping in real-time", IEEE International Conference on Computer Vision, 6(13), 2320-2327, 2011
3 M. Niessner, M. Zollhofer, S. Izadi and M. Stamminger "Real-time 3D reconstruction at scale using voxel hashing", ACM Transactions on Graphics, 32(6), 169:1-169:11, 2013
4 S. Agruwal, N. Snavely, I. Simon, S. M. Seitz, and R. Szeliski. "Building rome in a day", Communications of the ACM, 54(10), 105-112, 2011   DOI
5 J. Xiao and Y. Furukawa, "Reconstructing the World's Museums", International Journal of Computer Vision, 110(3), 243-258, 2014   DOI
6 Y. Zhang., W. Xu, Y. Tong and K. Zhou, "Online structure analysis for real-time incklor scene reconstruction", ACM Transactions on Graphics, 34(5), 159 :1-159 :13, 2015
7 H. Lee, E. Shechtman, J. Wang and S. Lee, "Automatic Upright Adjustment of Photographs with Robust Camera Calibration", IEEE Transactions on Pattern Analysis & Machine Intelligence, 36(5), 833-844, 2014   DOI
8 J. Chen, D. Bautembach, and S. Izadi, "Scalable real-time volumetric surface reconstruction", ACM Transactions on Graphics, 32(4), 113:1-113:8, 2013.
9 Q. Y Zhou and V. Koltun, ''Dense scene reconstruction with points of interest", ACM Transactions on Graphics, 32(4), 112 :1-112 :8, 2013
10 G. Petschnigg, M. Agrawala, H. Hoppe, R. Szeliski, M. Cohen and K. Toyama, "Digital Photography with Flash and No-Flash Image Pairs", ACM Transactions on Graphics, 23(3), 664-672, 2004   DOI