Iterative Closest Point Method, C++ 1.0 Description

Description: ICP - Iterative Closest Point algorithm, c++ implementation. Handles only points in R^3. Makes use of a kd-tree for closest-point search. ICP finds the transformation of points in data to fit points in model. Fit with respect to minimize a weighted sum of squares for distances between the data points and the corresponding closest model points.

I've seen many people ask for a way to find the closest point on a curve from some given point in space. If the curve is a piecewise linear one, this is not too difficult, since this reduces to finding the closest point on a line segment, and then...

Solve quadratically constrained overdetermined l1 minimization: min ||K * x - f||_1 s.t. ||y - x||_2 <= epsilon using a primal interior point method (using a log barrier).

A compiler able to use sources from multiple languages, and build to different target platforms. Eventually, it should be able to compile itself, at which point the c++ standard headers will likely be replaced with the compiler's own libraries.

SNTO is a global optimization method where many points are generated in a multi-dimensional domain; the optimum point is selected and the domain is contracted around the neighborhood of the optimum. See for example: Number-Theoretic Methods in...

Calculate the distance of a given point P from a triangle TRI. Point P is a row vector of the form 1x3. The triangle is a matrix formed by three rows of points TRI = [P1;P2;P3] each of size 1x3. dist = pointTriangleDistance(TRI,P)...

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