Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Sheffield : A - Mechanical engineering and Advanced manufacturing
Article title
Efficient 3D Geometric and Zernike Moments Computation from Unstructured Surface Meshes
Type
D - Journal article
Title of journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Article number
-
Volume number
33
Issue number
3
First page of article
471
ISSN of journal
01628828
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
Zernike moments are a key tool in computer vision with applications in object recognition and retrieval. A numerical acceleration is presented, which enables a 2-orders-of-magnitude speed-up of their calculation and is applicable to any object of any dimensionality. Subsequently, we applied it to morphology-based risk assessment of cerebral aneurysms and shape-based aneurysmal classification/retrieval (cf. IEEE Trans on Medical Imaging, 26(9):1270-82). The method is in the process of being transferred to a major medical imaging vendor (Philips Healthcare) through an industrial contract.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
