Model Resources

Showing items tagged with "Model"

The Iterative Closest Point (ICP) algorithm aligns data points to model points by minimizing the sum of squared errors between corresponding closest points. Standard implementation: [R, T] = icp(model, data). INPUT PARAMETERS: model - matrix containing model point coordinates, data - matrix containing data point coordinates. The algorithm iteratively finds closest point correspondences and computes optimal rigid transformation using Singular Value Decomposition (SVD) for rotation matrix estimation.

MATLAB 254 views Tagged