A new concept of probability metric and its applications in approximation of scattered data sets

AbstractThe Hong Kong/AAO/Strasbourg Hα (HASH) planetary nebula database is an online research platform providing free and easy access to the largest and most comprehensive catalogue of known Galactic PNe and a repository of observational data (imaging and spectroscopy) for these and related astronomical objects. The main motivation for creating this system is resolving some of long standing problems in the field e.g. problems with mimics and dubious and/or misidentifications, errors in observational data and consolidation of the widely scattered data-sets. This facility allows researchers quick and easy access to the archived and new observational data and creating and sharing of non-redundant PN samples and catalogues.

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A high order multivariate approximation scheme for scattered data sets

Journal of Computational Physics ◽

10.1016/j.jcp.2010.04.047 ◽

2010 ◽

Vol 229 (18) ◽

pp. 6343-6361 ◽

Cited By ~ 18

Author(s):

Qiqi Wang ◽

Parviz Moin ◽

Gianluca Iaccarino

Keyword(s):

Approximation Scheme ◽

Scattered Data ◽

High Order ◽

Multivariate Approximation ◽

Data Sets

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Smooth approximation and rendering of large scattered data sets

Proceedings Visualization, 2001. VIS '01. ◽

10.1109/visual.2001.964530 ◽

2005 ◽

Cited By ~ 16

Author(s):

J. Haber ◽

F. Zeilfelder ◽

O. Davydov ◽

H.-P. Seidel

Keyword(s):

Scattered Data ◽

Data Sets ◽

Smooth Approximation

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Smooth Approximation and Rendering of Large Scattered Data Sets

From Nano to Space ◽

10.1007/978-3-540-74238-8_11 ◽

2007 ◽

pp. 127-143

Author(s):

Jörg Haber ◽

Frank Zeilfelder ◽

Oleg Davydov ◽

Hans-Peter Seidel

Keyword(s):

Scattered Data ◽

Data Sets ◽

Smooth Approximation

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Adaptive Subdivision Surface Reconstruction for Scattered Data in Reverse Engineering Based on GPU

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.138 ◽

2012 ◽

Vol 490-495 ◽

pp. 138-142

Author(s):

Ying Hui Wang ◽

Wei Yong Wu

Keyword(s):

Reverse Engineering ◽

Surface Reconstruction ◽

Large Scale ◽

High Efficiency ◽

Reconstruction Algorithm ◽

Scattered Data ◽

Data Sets ◽

Reconstruction Method ◽

Subdivision Surface ◽

Adaptive Subdivision

Reconstructing geometry models from scattered data is an important task in reverse engineering. An adaptive subdivision surface reconstruction method was proposed to construct complex models rapidly. This method includes several steps: triangulation on scattered data; mesh segmentation and simplification; computing the subdivision depth according to the specified error. The last step is computing mesh control net by fitting subdivision functions and construct subdivision surface adaptively. In order to improve the efficiency of the algorithm, we implemented the reconstruction algorithm on GPU in parallel way and tested the program on several large scale data sets. Our adaptive subdivision method can save storage space and gain high efficiency simultaneously.

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