Video
BibTex
@inproceedings{Istead:2021:10.20380/GI2021.20,
author = {Istead, Lesley and Pocol, Andreea and Kaplan, Craig S. and Watt, Isaac and Lemoing, Nick and Yang, Alicia},
title = {Generating Rough Stereoscopic 3D Line Drawings from 3D Images},
booktitle = {Proceedings of Graphics Interface 2021},
series = {GI 2021},
year = {2021},
issn = {0713-5424},
isbn = {978-0-9947868-6-9},
location = {Virtual Event},
pages = {178 -- 185},
numpages = {8},
doi = {10.20380/GI2021.20},
publisher = {Canadian Information Processing Society},
}
Abstract
We present a method to produce stylized drawings from stereoscopic 3D (S3D) images. Taking advantage of the information provided by the disparity map, we extract object contours and determine their visibility. The discovered contours are stylized and warped to produce an S3D line drawing. Since the produced line drawing can be ambiguous in shape, we add stylized shading to provide monocular depth cues. We investigate using both consistently rendered shading and inconsistently rendered shading in order to determine the importance of lines and shading to depth perception.