Low poly rendering has always been a popular form of art in the art and design community, where the artist draws each polygon (usually triangle) on the image individually. Several state-of-the-art methods were proposed to overcome the laborious process of manual low poly rendering, by rendering the low poly shapes automatically. However, results generated by the aforementioned methods were either not visually pleasing or the algorithms are computationally slow. In this paper, we present Pic2Geom, a fast algorithm that generates low poly geometric art with adequate quality, at low computational cost. The proposed algorithm utilizes edge detection, saliency detection and face detection to generate a set of seed points, which is then used by Delaunay triangulation to generate the low poly abstraction. Comparison with state-of-the-arts approaches demonstrate the efficiency and effectiveness of our algorithm in producing a quality geometric abstraction of a given photograph.
CITATION STYLE
Ng, R., Wong, L. K., & See, J. (2018). Pic2Geom: A fast rendering algorithm for low-poly geometric art. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10736 LNCS, pp. 368–377). Springer Verlag. https://doi.org/10.1007/978-3-319-77383-4_36
Mendeley helps you to discover research relevant for your work.