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ORCIDComputers & Graphics, Volume 49
Volume 49, June 2015
- Jan Boehm
, Roderik Lindenbergh, Michela Spagnuolo:
Preface to the special session on processing of large geospatial data. A1-A2
- Ehsan Shoja, Mohammad Ghodsi:
GPU-based parallel algorithm for computing point visibility inside simple polygons. 1-9 - Shu-Juan Peng, Gao-Feng He, Xin Liu, Hua-zhen Wang:
Hierarchical block-based incomplete human mocap data recovery using adaptive nonnegative matrix factorization. 10-23 - Rui S. V. Rodrigues, José F. M. Morgado, Abel João Padrão Gomes:
A contour-based segmentation algorithm for triangle meshes in 3D space. 24-35
- Eduardo Fernández, Gonzalo Besuievsky:
Erratum to 'A sample-based method for computing the radiosity inverse matrix' [Computers & Graphics 41 (2014) 1-12]. 36
- Roberto Giachetta:
A framework for processing large scale geospatial and remote sensing data in MapReduce environment. 37-46 - Martin Weinmann, Steffen Urban, Stefan Hinz, Boris Jutzi, Clément Mallet:
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas. 47-57 - Vibeke Skytt, Oliver Joseph David Barrowclough, Tor Dokken:
Locally refined spline surfaces for representation of terrain data. 58-68 - Michel Krämer, Ivo Senner:
A modular software architecture for processing of big geospatial data in the cloud. 69-81 - Linh Truong-Hong, Debra F. Laefer:
Quantitative evaluation strategies for urban 3D model generation from remote sensing data. 82-91 - Peter van Oosterom, Oscar Martinez-Rubi, Milena Ivanova, Mike Hörhammer, Daniel Geringer, Siva Ravada, Theo Tijssen, Martin Kodde, Romulo Goncalves:
Massive point cloud data management: Design, implementation and execution of a point cloud benchmark. 92-125 - Bruno Vallet, Mathieu Brédif, Andrés Serna, Beatriz Marcotegui, Nicolas Paparoditis:
TerraMobilita/iQmulus urban point cloud analysis benchmark. 126-133
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