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Poster Communications Year : 2019

Layered Reconstruction of Stippling Art


In this work, we introduce a dedicated variant of traditional 2D reconstruction in which the input point set (a stippled image) can include different regions corresponding to different point densities. Our method converts this input into a layered, vector representation, which includes a main shape plus internal, closed regions, defined by their boundary. Providing such structured output eases subsequent editing and processing, such as generating shaded vector images from the stippled input. To achieve this, we first apply a layered reconstruction algorithm based on the detected regions in the input point set, and use the output for generating the outer and inner shape boundaries in the stippled drawing
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hal-02193269 , version 1 (24-07-2019)


  • HAL Id : hal-02193269 , version 1


Amal Dev Parakkat, Pooran Memari, Marie-Paule Cani. Layered Reconstruction of Stippling Art. SIGGRAPH 2019 (Poster Proceedings), Jul 2019, Los Angeles, United States. ⟨hal-02193269⟩
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