Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-69423-6_8
DC FieldValue
dc.titleNormalization and alignment of 3D objects based on bilateral symmetry, planes
dc.contributor.authorTedjokusumo, J.
dc.contributor.authorLeow, W.K.
dc.date.accessioned2014-06-19T03:20:41Z
dc.date.available2014-06-19T03:20:41Z
dc.date.issued2007
dc.identifier.citationTedjokusumo, J.,Leow, W.K. (2007). Normalization and alignment of 3D objects based on bilateral symmetry, planes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4351 LNCS (PART 1) : 74-85. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-540-69423-6_8" target="_blank">https://doi.org/10.1007/978-3-540-69423-6_8</a>
dc.identifier.isbn9783540694212
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71169
dc.description.abstractRecent advancements in 3D scanning technologies have inspired the development of effective methods for matching and retrieving 3D objects. A common pre-processing stage of these retrieval methods is to normalize the position, size, and orientation of the objects based on PCA. It aligns an object's orientation based on PCA eigenvectors, and normalizes its size uniformly in all 3 spatial dimensions based on the variance of the object points. However, orientation alignment by PCA is not robust, and objects with similar shape can be misaligned. Uniform scaling of the objects is not ideal because it does not take into account the differences in the objects' 3D aspect ratios, resulting in misalignment that can exaggerate the shape difference between the objects. This paper presents a method for computing 3D objects' bilateral symmetry planes (BSPs) and BSP axes and extents, and a method for normalizing 3D objects based on BSP axes and extents. Compared to normalization methods based on PCA and minimum volume bounding box, our BSP-based method can normalize and align similar objects in the same category in a semantically more meaningful manner, such as aligning the objects' heads, bodies, legs, etc. © Springer-Verlag Berlin Heidelberg 2007.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-540-69423-6_8
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/978-3-540-69423-6_8
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume4351 LNCS
dc.description.issuePART 1
dc.description.page74-85
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

9
checked on Nov 28, 2022

Page view(s)

106
checked on Nov 24, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.