Abstract:
We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the ...Show MoreMetadata
Abstract:
We present a pose estimation method from an initial unreliable guess using calibrated stereo images. The approach does not rely on a priori known salient features on the surface. The stereo images are brought in congruence without computing a disparity map like in standard stereo algorithms. Instead, the pose parameters of the object are varied to match the stereo images on the known surface shape. Our approach takes into account the aliasing effects introduced due to irregular sub-sampling and is not limited to simple geometric surfaces.
Published in: 2002 International Conference on Pattern Recognition
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 09 July 2003
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651