RIFNOM: 3D Rotation-Invariant Features on Normal Maps

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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents 3D rotation-invariant features on normal maps: RIFNOM.We assign a local coordinate system (CS) to each pixel by using neighbor normals to extract the 3D rotation-invariant features. These features can be used to perform interest point matching between normal maps. We can estimate 3D rotations between corresponding interest points by comparing local CSs. Experiments with normal maps of a rigid object showed the performance of the proposed method in estimating 3D rotations. We also applied the proposed method to a non-rigid object. By estimating 3D rotations between corresponding interest points, we successfully detected deformation of the object.
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@inproceedings{
10.2312:egp.20181016
, booktitle = {
EG 2018 - Posters
}, editor = {
Jain, Eakta and Kosinka, Jirí
}, title = {{
RIFNOM: 3D Rotation-Invariant Features on Normal Maps
}}, author = {
Nakamura, Akihiro
and
Miyashita, Leo
and
Watanabe, Yoshihiro
and
Ishikawa, Masatoshi
}, year = {
2018
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {}, DOI = {
10.2312/egp.20181016
} }
Citation