| Literature DB >> 26731457 |
Lap-Fai Yu, Sai-Kit Yeung, Demetri Terzopoulos.
Abstract
We introduce the Clutterpalette, an interactive tool for detailing indoor scenes with small-scale items. When the user points to a location in the scene, the Clutterpalette suggests detail items for that location. In order to present appropriate suggestions, the Clutterpalette is trained on a dataset of images of real-world scenes, annotated with support relations. Our experiments demonstrate that the adaptive suggestions presented by the Clutterpalette increase modeling speed and enhance the realism of indoor scenes.Year: 2016 PMID: 26731457 DOI: 10.1109/TVCG.2015.2417575
Source DB: PubMed Journal: IEEE Trans Vis Comput Graph ISSN: 1077-2626 Impact factor: 4.579