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  Robust Pose Estimation with 3D Textured Models

Gall, J., Rosenhahn, B., & Seidel, H.-P. (2006). Robust Pose Estimation with 3D Textured Models. In Advances in Image and Video Technology, First Pacific Rim Symposium, PSIVT 2006 (pp. 84-95). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23E0-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-23E2-5
Genre: Conference Paper

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 Creators:
Gall, Jürgen1, Author           
Rosenhahn, Bodo1, Author           
Seidel, Hans-Peter1, Author           
Chang, Long-Wen, Editor
Lie, Wen-Nung, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: Estimating the pose of a rigid body means to determine the rigid body motion in the 3D space from 2D images. For this purpose, it is reasonable to make use of existing knowledge of the object. Our approach exploits the 3D shape and the texture of the tracked object in form of a 3D textured model to establish 3D-2D correspondences for pose estimation. While the surface of the 3D free-form model is matched to the contour extracted by segmentation, additional reliable correspondences are obtained by matching local descriptors of interest points between the textured model and the images. The fusion of these complementary features provides a robust pose estimation. Moreover, the initial pose is automatically detected and the pose is predicted for each frame. Using the predicted pose as shape prior makes the contour extraction less sensitive. The performance of our method is demonstrated by stereo tracking experiments.

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Language(s): eng - English
 Dates: 2007-02-252006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314370
Other: Local-ID: C125675300671F7B-9DF1787D5A05525CC125724A005638AD-Gall2006c
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Title: Untitled Event
Place of Event: Hsinchu, Taiwan
Start-/End Date: 2006-12-10

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Title: Advances in Image and Video Technology, First Pacific Rim Symposium, PSIVT 2006
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 84 - 95 Identifier: ISBN: 978-3-540-68297-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 4319 Sequence Number: - Start / End Page: - Identifier: -