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Conference Paper

Automated Texture Registration and Stitching for Real World Models

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Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;

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Heidrich,  Wolfgang
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Lensch, H. P. A., Heidrich, W., & Seidel, H.-P. (2000). Automated Texture Registration and Stitching for Real World Models. In B. A. Barsky, Y. Shinagawa, & W. Wang (Eds.), Proceedings of the 8th Pacific Conference on Computer Graphics and Applications (pp. 317-326). Los Alamitos, USA: IEEE.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-3489-F
Abstract
In this paper a system is presented which automatically registers
and stitches textures acquired from multiple photographic images
onto the surface of a given corresponding 3D model. Within this
process the camera position, direction and field of view must be
determined for each of the images. For this registration, which
aligns a 2D image to a 3D model we present an efficient
hardware-accelerated silhouette-based algorithm working on different
image resolutions that accurately registers each image without any
user interaction. Besides the silhouettes, also the given texture
information can be used to improve accuracy by comparing one
stitched texture to already registered images resulting in a global
multi-view optimization. After the 3D-2D registration for each part
of the 3D model's surface the view is determined which provides the
best available texture. Textures are blended at the borders of
regions assigned to different views.