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» A 3D shape matching framework
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129
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MICCAI
2001
Springer
15 years 5 months ago
Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...
Daniel Rueckert, Alejandro F. Frangi, Julia A. Sch...
116
Voted
TSMC
2008
198views more  TSMC 2008»
15 years 15 days ago
Representation Plurality and Fusion for 3-D Face Recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine the benefits of various score-, rank-, and decision-level fusion rules. We investigate f...
Berk Gökberk, Helin Dutagaci, A. Ulas, Lale A...
91
Voted
ICCS
2005
Springer
15 years 6 months ago
Dynamic Data Driven Coupling of Continuous and Discrete Methods for 3D Tracking
We present a new framework for robust 3D tracking, using a dynamic data driven coupling of continuous and discrete methods to overcome their limitations. Our method uses primarily ...
Dimitris N. Metaxas, Gabriel Tsechpenakis
113
Voted
MICCAI
2004
Springer
16 years 1 months ago
Profile Scale-Spaces for Multiscale Image Match
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...
Sean Ho, Guido Gerig
109
Voted
3DIM
2005
IEEE
15 years 6 months ago
Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images
Conventional registration algorithms are mostly concerned with rigid-body transformation parameters between a pair of 3D range images. Our proposed framework aims to determine, in...
Tomohito Masuda, Yuichiro Hirota, Katsushi Ikeuchi...