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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shah, S.A.A. Bennamoun, M. Boussaid, F. El-Sallam, A.A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Electr., Electron. & Comput. Eng., Univ. of Western Australia, Perth, WA, Australia (Boussaid, F.) || Sch. of Comput. Sci. & Software Eng., Univ. of Western Australia, Perth, WA, Australia (Shah, S.A.A.; Bennamoun, M.; El-Sallam, A.A.) |
| Abstract | This paper presents a novel local surface descriptor, called 3D-Div. The proposed descriptor is based on the concept of 3D vector fields divergence, extensively used in electromagnetic theory. To generate a 3D-Div descriptor of a 3D surface, a keypoint is first extracted on the 3D surface, then a local patch of a certain size is selected around that keypoint. A Local Reference Frame (LRF) is then constructed at the keypoint using all points forming the patch. A normalized 3D vector field is then computed at each point in the patch and referenced with LRF vectors. The 3D-Div descriptors are finally generated as the divergence of the reoriented 3D vector field. We tested our proposed descriptor on the low resolution Washington RGB-D (Kinect) object dataset. Performance was evaluated for the tasks of feature matching and pairwise range image registration. Experimental results showed that the proposed 3D-Div is 88% more computationally efficient and 47% more accurate than commonly used Spin Image (SI) descriptors. |
| Starting Page | 2934 |
| Ending Page | 2938 |
| File Size | 4834445 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479923410 |
| DOI | 10.1109/ICIP.2013.6738604 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Range image registration Local surface descriptor Feature matching |
| Content Type | Text |
| Resource Type | Article |
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