2026-04-17T05:40:59Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1700512026-03-31T08:27:42Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Argudo Medrano, Óscar author Andújar Gran, Carlos Antonio author Chica Calaf, Antonio author 2020-02 The automatic generation of realistic vegetation closely reproducing the appearance of specific plant species is still a challenging topic in computer graphics. In this paper, we present a new approach to generate new tree models from a small collection of frontal RGBA images of trees. The new models are represented either as single billboards (suitable for still image generation in areas such as architecture rendering) or as billboard clouds (providing parallax effects in interactive applications). Key ingredients of our method include the synthesis of new contours through convex combinations of exemplar countours, the automatic segmentation into crown/trunk classes and the transfer of RGBA colour from the exemplar images to the synthetic target. We also describe a fully automatic approach to convert a single tree image into a billboard cloud by extracting superpixels and distributing them inside a silhouette-defined 3D volume. Our algorithm allows for the automatic generation of an arbitrary number of tree variations from minimal input, and thus provides a fast solution to add vegetation variety in outdoor scenes. Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Informàtica::Infografia Color computer graphics Three dimensional imaging Rendering (Computer graphics) Image-based modelling Modelling Image-based rendering Infografia en color Infografia tridimensional Image-based tree variations