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» 2D and 3D Shape Based Segmentation Using Deformable Models
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BMVC
2002
15 years 1 days ago
Integrated Shape and Pose Modelling
Flexible Shape Models (FSMs), have been widely used for modelling shape variations of deformable objects [4]. A major limitation of this approach is that it assumes a near fronto-...
M. Benjamin Dias, Bernard F. Buxton
CVPR
2011
IEEE
14 years 5 months ago
Deformation and Illumination Invariant Feature Point Descriptor
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...
Francesc Moreno (Institut de Robotica i Informatic...
CIARP
2006
Springer
15 years 1 months ago
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures
The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiog...
Y. Santiesteban, J. M. Sanchiz, José Mart&i...
ECCV
2008
Springer
15 years 11 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
WACV
2005
IEEE
15 years 3 months ago
Integrating Range and Texture Information for 3D Face Recognition
The performance of face recognition systems that use two-dimensional images depends on consistent conditions w.r.t. lighting, pose, and facial appearance. We are developing a face...
Xiaoguang Lu, Anil K. Jain