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» Application of Level Set Methods in Computer Vision
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ICPR
2006
IEEE
16 years 3 months ago
Graph-based transformation manifolds for invariant pattern recognition with kernel methods
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
Alexei Pozdnoukhov, Samy Bengio
ACCV
2006
Springer
15 years 8 months ago
Vision Based Speech Animation Transferring with Underlying Anatomical Structure
We present a novel method to transfer speech animation recorded in low resolution videos onto realistic 3D facial models. Unsupervised learning is utilized on a speech video corpus...
Yuru Pei, Hongbin Zha
CVPR
2012
IEEE
13 years 4 months ago
Linear discriminative image processing operator analysis
In this paper, we propose a method to select a discriminative set of image processing operations for Linear Discriminant Analysis (LDA) as an application of the use of generating ...
Toru Tamaki, Bingzhi Yuan, Kengo Harada, Bisser Ra...
CA
1999
IEEE
15 years 6 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
CVPR
2009
IEEE
15 years 9 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter