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
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional distance field metamorphosis
ACM Transactions on Graphics (TOG)
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Computer and Robot Vision
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Style-based inverse kinematics
ACM SIGGRAPH 2004 Papers
Point based animation of elastic, plastic and melting objects
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
On Learning Vector-Valued Functions
Neural Computation
Intra-document structural frequency features for semi-supervised domain adaptation
Proceedings of the 17th ACM conference on Information and knowledge management
Automatic 3D face correspondence based on feature extraction in 2D space
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Nonparametric Regression between General Riemannian Manifolds
SIAM Journal on Imaging Sciences
Using landmarks as a deformation prior for hybrid image registration
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Bayesian mesh reconstruction from noisy point data
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Learning the dynamics of objects by optimal functional interpolation
Neural Computation
Multi-resolutive sparse approximations of d-dimensional data
Computer Vision and Image Understanding
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We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspondence. The fields are computed using a modified support vector machine containing a penalty enforcing that points of one object will be mapped to "similar" points on the other one. Our system, which contains little engineering or domain knowledge, delivers state of the art performance. We present application results including close to photorealistic morphs of 3D head models.