Fourier Contour Embedding

2000년 도입 · 논문 1편에서 사용

Fourier Contour Embedding is a text instance representation that allows networks to learn diverse text geometry variances. Most of existing methods model text instances in image spatial domain via masks or contour point sequences in the Cartesian or the polar coordinate system. However, the mask representation might lead to expensive post-processing, while the point sequence one may have limited capability to model texts with highly-curved shapes. This motivates modeling text instances in the Fourier domain.

출처: Fourier Contour Embedding for Arbitrary-Shaped Text Detection

소개 논문: Fourier Contour Embedding for Arbitrary-Shaped Text Detection