Point fingerprint: A new 3-D object representation scheme
- Authors
- Sun, YY; Paik, Joonki; Koschan, A; Page, DL; Abidi, MA
- Issue Date
- Aug-2003
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Exponential map; Geodesic distance; Pose estimation; Surface matching; Surface registration; Triangle mesh
- Citation
- IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, v.33, no.4, pp 712 - 717
- Pages
- 6
- Journal Title
- IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Volume
- 33
- Number
- 4
- Start Page
- 712
- End Page
- 717
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40435
- DOI
- 10.1109/TSMCB.2003.814295
- ISSN
- 1083-4419
1941-0492
- Abstract
- This paper proposes a new, efficient surface representation method for surface matching. A feature carrier for a surface point, which is a set of two-dimensional (2-D) contours that are the projections of geodesic circles on the tangent plane, is generated. The carrier is named point fingerprint because its pattern is similar to,human fingerprints and plays a role in discriminating surface points. Corresponding points on surfaces from different views are found by comparing their fingerprints. The point fingerprint is able to carry curvature, color, and other information which can improve matching accuracy, and the matching process is faster than 2-D image comparison. A novel candidate point selection method based on the fingerprint irregularity is introduced. Point fingerprint is successfully applied to pose estimation of real range data.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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