The Canonically Posed 3D Objects Dataset

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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Shape matching methodologies of generic 3D objects are conventionally preceded by a pose normalization stage, that transforms objects to a canonical coordinate frame wherein feature extraction and shape matching is performed. Arguably, the canonical pose of a 3D object depends not only on its geometry but also on its semantic meaning, a characteristic that generally complicates the extraction of ground truth data. This paper introduces the first ground-truth dataset of 3D objects that allows an objective evaluation of methods which obtain the canonical pose of objects within extrinsic space. By virtue of the protocol that was followed to assemble the dataset, 3D objects of the same class share a fixed pose in terms of object center, scale and rotation while undergoing diverse shape deformations. The dataset is publicly disclosed and relevant use cases are discussed.
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@inproceedings{
:10.2312/3dor.20141047
https::/diglib.eg.org/handle/10.2312/3dor.20141047.033-036
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
Benjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkamp
}, title = {{
The Canonically Posed 3D Objects Dataset
}}, author = {
Papadakis, Panagiotis
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0463
}, ISBN = {
978-3-905674-58-3
}, DOI = {
/10.2312/3dor.20141047
https://diglib.eg.org/handle/10.2312/3dor.20141047.033-036
} }
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