Robust Pose Estimation from a Planar Target

By Gerald Schweighofer, Axel Pinz. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006

387 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Revisiting the PnP Problem: A Fast, General and Optimal Solution (2013, methodology): “Schweighofer and Pinz [19] partially addressed the problem of multiple local minima with a planar target, but failed to provide a general solution.”
Accurate Non-Iterative O(n) Solution to the PnP Problem (2007, methodology): “Schweighofer and Pinz [24] prove that when the reference points lie on a plane, camera pose suffers from an ambiguity that results in significant instability.”
A Robust O(n) Solution to the Perspective-n-Point Problem (2012, background): “In practice, applications such as feature point-based camera tracking [6], [7] require solutions that can deal with both hundreds of feature points efﬁciently and a few feature points ( n (cid:20) 5 ) accurately.”
Pose Estimation for Augmented Reality: A Hands-On Survey (2016, positive): “A very efficient solution for planar target pose estimation is considered in [115] and has been used in ARToolkit+ [145].”
The MOPED framework: Object recognition and pose estimation for manipulation (2011, background): “The sum of reprojection errors in planar surfaces may contain two complementary local minima in some configurations of pose space (Schweighofer and Pinz 2006), which often causes the appearance of two distinct and partially overlapping object hypotheses.”