Abstract | ||
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In this paper a system is presented that automatically registers and stitches textures acquired from multiple photographic images onto the surface of a given correspond-ing 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, the given texture information also can be used to improve accuracy by comparing one stitched texture to already registered images resulting in a global multiview 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. c 2001 Elsevier Science (USA) Key Words: texture stitching; 3D-2D registration; object representation. |
Year | DOI | Venue |
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2001 | 10.1006/gmod.2001.0554 | Graphical Models |
Keywords | Field | DocType |
silhouette-based algorithm,object representation.,texture stitching,object representation,texture registration,3d–2d registration,3d-2d registration,field of view,hardware accelerator,image resolution | Field of view,Texture compression,Image stitching,Computer graphics (images),Silhouette,Artificial intelligence,Computer vision,Image texture,Algorithm,Texture atlas,Image resolution,Mathematics,Texture filtering | Journal |
Volume | Issue | ISSN |
63 | 4 | Graphical Models |
Citations | PageRank | References |
55 | 2.38 | 21 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Hendrik P. A. Lensch | 1 | 1471 | 96.59 |
Wolfgang Heidrich | 2 | 3082 | 227.83 |
Hans-Peter Seidel | 3 | 12532 | 801.49 |