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» Three-Clustering of Points in the Plane
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IPL
2002
125views more  IPL 2002»
13 years 8 months ago
A note concerning the closest point pair algorithm
An algorithm, described by Sedgewick, finds the distance between the closest pair of n given points in a plane using a variant of mergesort. This takes O(n log n) time. To prove t...
Martin Richards
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 8 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
SIAMCOMP
1998
114views more  SIAMCOMP 1998»
13 years 8 months ago
Maximum k-Chains in Planar Point Sets: Combinatorial Structure and Algorithms
A chain of a set P of n points in the plane is a chain of the dominance order on P. A k-chain is a subset C of P that can be covered by k chains. A k-chain C is a maximum k-chain ...
Stefan Felsner, Lorenz Wernisch
ICCV
2007
IEEE
14 years 11 months ago
Novel Depth Cues from Uncalibrated Near-field Lighting
We present the first method to compute depth cues from images taken solely under uncalibrated near point lighting. A stationary scene is illuminated by a point source that is move...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
SMI
1999
IEEE
14 years 1 months ago
Variational Constraints in 3D
We discuss how to solve variational constraint problems involving points, lines and planes. We concentrate on small problems that must be solved simultaneously.
Cassiano Durand, Christoph M. Hoffmann