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11

DAGM
2001
Springer

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Points, Lines, and Planes and Their Optimal Estimation

13 years 9 months ago

Points, Lines, and Planes and Their Optimal Estimation

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Abstract. We present a method for estimating unknown geometric entities based on identical, incident, parallel or orthogonal observed entities. These entities can be points and lines in 2D and points, lines and planes in 3D. We don’t need any approximate values for the unknowns. The entities are represented as homogeneous vectors or matrices, which leads to an easy formulation for a linear estimation model. Applications of the estimation method are manifold, ranging from 2D corner detection to 3D grouping.

Stephan Heuel

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DAGM 2001 | Entities | Image Processing | Orthogonal Observed Entities | Unknown Geometric Entities |

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Added	28 Jul 2010
Updated	28 Jul 2010
Type	Conference
Year	2001
Where	DAGM
Authors	Stephan Heuel

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