CrossRef Open Access 2023 8 sitasi

Singularity‐Free Frame Fields for Line Drawing Vectorization

Olga Guţan Shreya Hegde Erick Jimenez Berumen Mikhail Bessmeltsev Edward Chien

Abstrak

AbstractState‐of‐the‐art methods for line drawing vectorization rely on generated frame fields for robust direction disambiguation, with each of the two axes aligning to different intersecting curve tangents around junctions. However, a common source of topological error for such methods are frame field singularities. To remedy this, we introduce the first frame field optimization framework guaranteed to produce singularity‐free fields aligned to a line drawing. We first perform a convex solve for a roughly‐aligned orthogonal frame field (cross field), and then comb away its internal singularities with an optimal transport–based matching. The resulting topology of the field is strictly maintained with the machinery of discrete trivial connections in a final, non‐convex optimization that allows non‐orthogonality of the field, improving smoothness and tangent alignment. Our frame fields can serve as a drop‐in replacement for frame field optimizations used in previous work, improving the quality of the final vectorizations.

Penulis (5)

O

Olga Guţan

S

Shreya Hegde

E

Erick Jimenez Berumen

M

Mikhail Bessmeltsev

E

Edward Chien

Format Sitasi

Guţan, O., Hegde, S., Berumen, E.J., Bessmeltsev, M., Chien, E. (2023). Singularity‐Free Frame Fields for Line Drawing Vectorization. https://doi.org/10.1111/cgf.14901

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
Sumber Database
CrossRef
DOI
10.1111/cgf.14901
Akses
Open Access ✓