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» Application of Level Set Methods in Computer Vision
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CVPR
1999
IEEE
15 years 11 months ago
Projective Rectification Without Epipolar Geometry
We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. ...
Francesco Isgrò, Emanuele Trucco
205
Voted
MVA
2007
210views Computer Vision» more  MVA 2007»
15 years 9 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
ICPR
2002
IEEE
16 years 13 days ago
Evaluating the Range Flow Motion Constraint
The instantaneous three-dimensional velocity field of a moving surface can be computed from a sequence of dense range data sets. Here we discuss the computation of the underlying...
Hagen Spies, John L. Barron
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
16 years 14 days ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo
214
Voted
CVPR
2005
IEEE
16 years 9 months ago
Multi-Output Regularized Projection
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
Kai Yu, Shipeng Yu, Volker Tresp