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FLAIRS
2004
13 years 10 months ago
Blind Data Classification Using Hyper-Dimensional Convex Polytopes
A blind classification algorithm is presented that uses hyperdimensional geometric algorithms to locate a hypothesis, in the form of a convex polytope or hyper-sphere. The convex ...
Brent T. McBride, Gilbert L. Peterson
IJCV
2006
120views more  IJCV 2006»
13 years 8 months ago
Contour Inferences for Image Understanding
We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints su...
Washington Mio, Anuj Srivastava, Xiuwen Liu
ISCSCT
2008
IEEE
14 years 3 months ago
Image Rectification Using Affine Epipolar Geometric Constraint
—To rapidly and accurately search the corresponding points along scan-lines, rectification of stereo pairs are performed so that corresponding epipolar lines are parallel to the ...
Liansheng Sui, Jiulong Zhang, Duwu Cui
FSTTCS
2004
Springer
14 years 2 months ago
Testing Geometric Convexity
We consider the problem of determining whether a given set S in Rn is approximately convex, i.e., if there is a convex set K ∈ Rn such that the volume of their symmetric differe...
Luis Rademacher, Santosh Vempala
JCDCG
2004
Springer
14 years 2 months ago
Farthest-Point Queries with Geometric and Combinatorial Constraints
In this paper we discuss farthest-point problems in which a set or sequence S of n points in the plane is given in advance and can be preprocessed to answer various queries efficie...
Ovidiu Daescu, Ningfang Mi, Chan-Su Shin, Alexande...