TY - GEN
T1 - Point cloud compression for grid-pattern-based 3D scanning system
AU - Daribo, I.
AU - Furukawa, R.
AU - Sagawa, R.
AU - Kawasaki, H.
AU - Hiura, S.
AU - Asada, N.
PY - 2011
Y1 - 2011
N2 - Recently it is relatively easy to produce digital point sampled 3D geometric models. In sight of the increasing capability of 3D scanning systems to produce models with millions of points, compression efficiency is of paramount importance. In this paper, we propose a novel competition-based predictive method for single-rate compression of 3D models represented as point cloud. In particular we aim at 3D scanning methods based on grid pattern. The proposed method takes advantage of the pattern characteristic made of vertical and horizontal lines, by assuming that the object surface is sampled in curve of points. We then designed and implemented a predictive coder driven by this curve-based point representation. Novel prediction techniques are specifically designed for a curve-based cloud of points, and been competing between them to achieve high quality 3D reconstruction. Experimental results demonstrate the effectiveness of the proposed method.
AB - Recently it is relatively easy to produce digital point sampled 3D geometric models. In sight of the increasing capability of 3D scanning systems to produce models with millions of points, compression efficiency is of paramount importance. In this paper, we propose a novel competition-based predictive method for single-rate compression of 3D models represented as point cloud. In particular we aim at 3D scanning methods based on grid pattern. The proposed method takes advantage of the pattern characteristic made of vertical and horizontal lines, by assuming that the object surface is sampled in curve of points. We then designed and implemented a predictive coder driven by this curve-based point representation. Novel prediction techniques are specifically designed for a curve-based cloud of points, and been competing between them to achieve high quality 3D reconstruction. Experimental results demonstrate the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84856199525&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856199525&partnerID=8YFLogxK
U2 - 10.1109/VCIP.2011.6115926
DO - 10.1109/VCIP.2011.6115926
M3 - Conference contribution
AN - SCOPUS:84856199525
SN - 9781457713200
T3 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
BT - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
T2 - 2011 IEEE Visual Communications and Image Processing, VCIP 2011
Y2 - 6 November 2011 through 9 November 2011
ER -