A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
HLK '03 Proceedings of the First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Deformation transfer for triangle meshes
ACM SIGGRAPH 2004 Papers
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
SCAPE: shape completion and animation of people
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2005 Papers
Single View Reconstruction of Curved Surfaces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Example Based 3D Reconstruction from Single 2D Images
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A comparative study of surface representations used in statistical human models
AMDO'12 Proceedings of the 7th international conference on Articulated Motion and Deformable Objects
Clothed and naked human shapes estimation from a single image
CVM'12 Proceedings of the First international conference on Computational Visual Media
Deformable model for estimating clothed and naked human shapes from a single image
The Visual Computer: International Journal of Computer Graphics
| Hi-index | 0.00 |
In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of shape variations, the object phenotype variation and its pose variation using two independent Gaussian Process Latent Variable Models (GPLVMs) respectively. The proposed shape variation models are learnt from 3D samples without prior knowledge about object class, e.g. object parts and skeletons, and are combined to fully span the 3D shape space. A novel probabilistic inference algorithm for 3D shape estimation is proposed by maximum likelihood estimates of the GPLVM latent variables and the camera parameters that best fit generated 3D shapes to given silhouettes. The proposed inference involves a small number of latent variables and it is computationally efficient. Experiments on both human body and shark data demonstrate the efficacy of our new approach.