3DSymm: robust and accurate 3D reflection symmetry detection

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dc.contributor.author Nagar, Rajendra
dc.contributor.author Raman, Shanmuganathan
dc.date.accessioned 2020-06-11T07:19:14Z
dc.date.available 2020-06-11T07:19:14Z
dc.date.issued 2020-06
dc.identifier.citation Nagar, Rajendra and Raman, Shanmuganathan, “3DSymm: robust and accurate 3D reflection symmetry detection”, Pattern Recognition, DOI: 10.1016/j.patcog.2020.107483, vol. 107, Jun. 2020. en_US
dc.identifier.issn 0031-3203
dc.identifier.uri https://doi.org/10.1016/j.patcog.2020.107483
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5468
dc.description.abstract Reflection symmetry is a very commonly occurring feature in both natural and man-made objects, which helps in understanding objects better and makes them visually pleasing. Detection of reflection symmetry is a fundamental problem in the field of computer vision and computer graphics which aids in understanding and representing reflective symmetric objects. In this work, we attempt the problem of detecting the 3D global reflection symmetry of a 3D object represented as a point cloud. The main challenge is to handle outliers, missing parts, and perturbations from the perfect reflection symmetry. We propose a descriptor-free approach, in which, we pose the problem of reflection symmetry detection as an optimization problem and provide a closed-form solution. We show that the proposed method achieves state-of-the-art performance on the standard dataset.
dc.description.statementofresponsibility by Rajendra Nagar and Shanmuganathan Raman
dc.language.iso en_US en_US
dc.publisher Elsevier en_US
dc.subject Reflection symmetry en_US
dc.subject Point Cloud en_US
dc.subject Optimization en_US
dc.title 3DSymm: robust and accurate 3D reflection symmetry detection en_US
dc.type Article en_US
dc.relation.journal Pattern Recognition


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