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» Point cloud matching based on 3D self-similarity
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ICPR
2008
IEEE
16 years 24 days ago
3D face recognition using sparse spherical representations
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3...
Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossar...
AIPR
2006
IEEE
15 years 5 months ago
Recovering Spheres from 3D Point Data
The National Institute of Standards and Technology is involved in developing standard protocols for the performance evaluation of 3D imaging systems, which include laser scanners ...
Christoph Witzgall, Geraldine S. Cheok, Anthony J....
3DGIS
2006
Springer
15 years 5 months ago
Improving the Realism of Existing 3D City Models
Within the paper, a novel approach for the reconstruction of geometric details of building façades is presented. It is based on 3D point clouds from terrestrial laser scanning. B...
Martin Kada, Norbert Haala, Susanne Becker
AVBPA
2005
Springer
326views Biometrics» more  AVBPA 2005»
15 years 1 months ago
Rank-Based Decision Fusion for 3D Shape-Based Face Recognition
In 3D face recognition systems, 3D facial shape information plays an important role. Various shape representations have been proposed in the literature. The most popular techniques...
Berk Gökberk, Albert Ali Salah, Lale Akarun
COMSIS
2010
14 years 9 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...