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» Two Dimensional Projective Point Matching
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ICCV
2009
IEEE
16 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
TSMC
2002
124views more  TSMC 2002»
14 years 9 months ago
Binocular transfer methods for point-feature tracking of image sequences
Image transfer is a method for projecting a 3D scene from two or more reference images. Typically, the correspondences of target points to be transferred and the reference points m...
Jason Z. Zhang, Q. M. Jonathan Wu, Hung-Tat Tsui, ...
MICCAI
2006
Springer
15 years 10 months ago
3D/2D Model-to-Image Registration Applied to TIPS Surgery
Abstract. In the context of image-guided TIPS (Transjugular, Intrahepatic, Portosystemic Shunt formation) surgery, the pose of a 3-dimensional model of the liver's vasculature...
Julien Jomier, Elizabeth Bullitt, Mark H. Van Horn...
IDA
1999
Springer
15 years 1 months ago
3D Grand Tour for Multidimensional Data and Clusters
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
Li Yang
ACCV
2010
Springer
14 years 4 months ago
A Direct Method for Estimating Planar Projective Transform
Estimating planar projective transform (homography) from a pair of images is a classical problem in computer vision. In this paper, we propose a novel algorithm for direct register...
Yu-Tseh Chi, Jeffrey Ho, Ming-Hsuan Yang