A Modified de Casteljau Subdivision that Supports Smooth Stitching with Hierarchically Organized Bicubic Bezier Patches

February 06, 2024 Β· Declared Dead Β· πŸ› arXiv.org

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Saied Zarrinmehr, Ergun Akleman, Jianer Chen arXiv ID 2402.04319 Category cs.CG: Computational Geometry Cross-listed cs.GR, cs.HC, math.AG, math.AT Citations 0 Venue arXiv.org Last Checked 3 months ago
Abstract
One of the theoretically intriguing problems in computer-aided geometric modeling comes from the stitching of the tensor product Bezier patches. When they share an extraordinary vertex, it is not possible to obtain continuity C1 or G1 along the edges emanating from that extraordinary vertex. Unfortunately, this stitching problem cannot be solved by using higher degree or rational polynomials. In this paper, we present a modified de Casteljau subdivision algorithm that can provide a solution to this problem. Our modified de Casteljau subdivision, when combined with topological modeling, provides a framework for interactive real-time modeling of piecewise smooth manifold meshes with arbitrary topology. The main advantage of the modified subdivision is that the continuity C1 on a given boundary edge does not depend on the positions of the control points on other boundary edges. The modified subdivision allows us to obtain the desired C1 continuity along the edges emanating from the extraordinary vertices along with the desired G1 continuity in the extraordinary vertices.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Computational Geometry

R.I.P. πŸ‘» Ghosted

Dynamic Planar Convex Hull

Riko Jacob, Gerth StΓΈlting Brodal

cs.CG πŸ› The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings. πŸ“š 240 cites 7 years ago

Died the same way β€” πŸ‘» Ghosted