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» Computational methods for understanding 3D shapes
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ECCV
2004
Springer
14 years 1 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
ICPR
2008
IEEE
14 years 9 months ago
Integration of time-sequential range images for reconstruction of a high-resolution 3D shape
The recognition of dynamic scenes using 3D shapes could provide useful approaches for various applications. However, the conventional 3D-shape sensing systems dedicated for such s...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
3DIM
2011
IEEE
12 years 7 months ago
Automatic Keypoint Detection on 3D Faces Using a Dictionary of Local Shapes
—Keypoints on 3D surfaces are points that can be extracted repeatably over a wide range of 3D imaging conditions. They are used in many 3D shape processing applications; for exam...
Clement Creusot, Nick Pears, Jim Austin
CVPR
2010
IEEE
13 years 10 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
CG
2011
Springer
13 years 2 months ago
Exoskeleton: Curve network abstraction for 3D shapes
TON: Curve Network Abstraction for 3D Shapes Fernando de Goesa,∗ , Siome Goldensteinb , Mathieu Desbruna , Luiz Velhoc aCalifornia Institute of Technology, Pasadena, CA 91125, US...
Fernando de Goes, Siome Goldenstein, Mathieu Desbr...