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» Two Dimensional Projective Point Matching
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ICCV
2009
IEEE
15 years 15 days 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»
13 years 7 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
14 years 8 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
13 years 11 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
13 years 2 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