Iterative closest point

Iterative closest point. May, 2014. Page Version ID: 608321493

Iterative Closest Point (ICP) [1][2][3] is an algorithm employed to minimize the difference between two clouds of points. ICP is often used to reconstruct 2D or 3D surfaces from different scans, to localize robots and achieve optimal path planning (especially when wheel odometry is unreliable due to slippery terrain), to co-register bone models, etc.

@misc{_iterative_2014,
	title = {Iterative closest point},
	copyright = {Creative Commons Attribution-ShareAlike License},
	url = {https://en.wikipedia.org/w/index.php?title=Iterative_closest_point&oldid=608321493},
	abstract = {Iterative Closest Point (ICP) [1][2][3] is an algorithm employed to minimize the difference between two clouds of points. ICP is often used to reconstruct 2D or 3D surfaces from different scans, to localize robots and achieve optimal path planning (especially when wheel odometry is unreliable due to slippery terrain), to co-register bone models, etc.},
	language = {en},
	urldate = {2014-05-17TZ},
	journal = {Wikipedia, the free encyclopedia},
	month = may,
	year = {2014},
	note = {Page Version ID: 608321493}
}

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