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Iterative Closest Point Method 1.0

  Date Added: June 07, 2013  |  Visits: 182

Iterative Closest Point Method

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ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T .newdata are transformed data points to fit modelsee help icp for more information

Requirements: No special requirements
Platforms: Matlab
Keyword: Closest Errors Icpmodeldata Information Input Matrix Minimize Model Modelsee Newdata Output Rdata Respect Rotation Square Transformed Translation Usage Vector
Users rating: 0/10

License: Freeware Size: 10 KB
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