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Conference Paper: Computing the distance between canal surfaces
Title | Computing the distance between canal surfaces |
---|---|
Authors | |
Keywords | Bounding volume Canal surface Cone-spheres Distance computation Distance interval |
Issue Date | 2010 |
Publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ |
Citation | The 6th International Conference of Geometric Modeling & Processing (GMP 2010), Casto Urdiales, Spain, 16-18 June 2010. In Lecture Notes in Computer Science, 2010, v. 6130, p. 88-103 How to Cite? |
Abstract | A canal surface is the envelope of a one-parameter set of moving spheres. We present an accurate and efficient method for computing the distance between two canal surfaces. First, we use a set of cone-spheres to enclose a canal surface. A cone-sphere is a surface generated by sweeping a sphere along a straight line segment with the radius of the sphere changing linearly; thus it is a truncated circular cone capped by spheres at the two ends. Then, for two canal surfaces we use the distances between their bounding cone-spheres to approximate their distance; the accuracy of this approximation is improved by subdividing the canal surfaces into more segments and use more cone-spheres to bound the segments, until a pre-specified threshold is reached. We present a method for computing tight bounding cone-spheres of a canal surface, which is an interesting problem in its own right. Based on it, we present a complete method for efficiently computing the distances between two canal surfaces using the distances among all pairs of their bounding cone-spheres. The key to its efficiency is a novel pruning technique that can eliminate most of the pairs of cone-spheres that do not contribute to the distance between the original canal surfaces. Experimental comparisons show that our method is more efficient than Lee et al's method [13] for computing the distance between two complex objects composed of many canal surfaces. © 2010 Springer-Verlag. |
Description | LNCS v. 6130 is proceedings of the 6th International Conference, GMP 2010 |
Persistent Identifier | http://hdl.handle.net/10722/132188 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ma, Y | en_HK |
dc.contributor.author | Tu, C | en_HK |
dc.contributor.author | Wang, W | en_HK |
dc.date.accessioned | 2011-03-21T09:00:05Z | - |
dc.date.available | 2011-03-21T09:00:05Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The 6th International Conference of Geometric Modeling & Processing (GMP 2010), Casto Urdiales, Spain, 16-18 June 2010. In Lecture Notes in Computer Science, 2010, v. 6130, p. 88-103 | en_HK |
dc.identifier.issn | 0302-9743 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/132188 | - |
dc.description | LNCS v. 6130 is proceedings of the 6th International Conference, GMP 2010 | - |
dc.description.abstract | A canal surface is the envelope of a one-parameter set of moving spheres. We present an accurate and efficient method for computing the distance between two canal surfaces. First, we use a set of cone-spheres to enclose a canal surface. A cone-sphere is a surface generated by sweeping a sphere along a straight line segment with the radius of the sphere changing linearly; thus it is a truncated circular cone capped by spheres at the two ends. Then, for two canal surfaces we use the distances between their bounding cone-spheres to approximate their distance; the accuracy of this approximation is improved by subdividing the canal surfaces into more segments and use more cone-spheres to bound the segments, until a pre-specified threshold is reached. We present a method for computing tight bounding cone-spheres of a canal surface, which is an interesting problem in its own right. Based on it, we present a complete method for efficiently computing the distances between two canal surfaces using the distances among all pairs of their bounding cone-spheres. The key to its efficiency is a novel pruning technique that can eliminate most of the pairs of cone-spheres that do not contribute to the distance between the original canal surfaces. Experimental comparisons show that our method is more efficient than Lee et al's method [13] for computing the distance between two complex objects composed of many canal surfaces. © 2010 Springer-Verlag. | en_HK |
dc.language | eng | en_US |
dc.publisher | Springer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/ | en_HK |
dc.relation.ispartof | Lecture Notes in Computer Science | en_HK |
dc.rights | The original publication is available at www.springerlink.com | en_US |
dc.subject | Bounding volume | en_HK |
dc.subject | Canal surface | en_HK |
dc.subject | Cone-spheres | en_HK |
dc.subject | Distance computation | en_HK |
dc.subject | Distance interval | en_HK |
dc.title | Computing the distance between canal surfaces | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Wang, W:wenping@cs.hku.hk | en_HK |
dc.identifier.authority | Wang, W=rp00186 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-642-13411-1_7 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77954653967 | en_HK |
dc.identifier.hkuros | 177911 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77954653967&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 6130 | en_HK |
dc.identifier.spage | 88 | en_HK |
dc.identifier.epage | 103 | en_HK |
dc.publisher.place | Germany | en_HK |
dc.description.other | The 6th International Conference of Geometric Modeling & Processing (GMP 2010), Casto Urdiales, Spain, 16-18 June 2010. In Lecture Notes in Computer Science, 2010, v. 6130, p. 88-103 | - |
dc.identifier.scopusauthorid | Ma, Y=35763294200 | en_HK |
dc.identifier.scopusauthorid | Tu, C=7402578832 | en_HK |
dc.identifier.scopusauthorid | Wang, W=35147101600 | en_HK |
dc.identifier.issnl | 0302-9743 | - |