by Rosenhahn, B, Ho, H and Klette, R
Abstract:
This article presents a 2D-3D pose estimation algorithm which relies on texture information on the surface mesh of an object model. The textured surface mesh is rendered in a virtual image and a modified block matching algorithm is applied to determine correspondences between midpoints of surface patches to points in an image. This is used in a point-based 2D-3D pose estimation algorithm to determine the pose and orientation of a 3D object with respect to given image data. We present experiments on various image sequences and show advantages of the chosen approach (e.g., in the context of varying backgrounds, noise or partial occlusions). © 2005 IEEE.
Reference:
Texture driven pose estimation (Rosenhahn, B, Ho, H and Klette, R), In Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005, volume 2005, 2005.
Bibtex Entry:
@inproceedings{rosenhahn2005textureestimation,
author = "Rosenhahn, B and Ho, H and Klette, R",
booktitle = "Proceedings of the Conference on Computer Graphics, Imaging and Vision: New Trends 2005",
pages = "271--277",
title = "Texture driven pose estimation",
volume = "2005",
year = "2005",
abstract = "This article presents a 2D-3D pose estimation algorithm which relies on texture information on the surface mesh of an object model. The textured surface mesh is rendered in a virtual image and a modified block matching algorithm is applied to determine correspondences between midpoints of surface patches to points in an image. This is used in a point-based 2D-3D pose estimation algorithm to determine the pose and orientation of a 3D object with respect to given image data. We present experiments on various image sequences and show advantages of the chosen approach (e.g., in the context of varying backgrounds, noise or partial occlusions). © 2005 IEEE.",
doi = "10.1109/CGIV.2005.75",
isbn = "0769523927",
isbn = "9780769523927",
language = "eng",
}