Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images
Abstract
We propose a method to automatically extract a sketch of a common object structure present in a small set of real world weakly-labeled images. Applying a part-based deformable contour matching technique gives the location of repeatable contours. An initial deformable search strategy selects a set of salient, repeatable contours robust to a large range of non-rigid deformations. A contour completion technique based on a locally greedy bi-directional search strategy is adopted to merge the repeatable contour fragments for obtaining a complete shape. The output of our algorithm is used as an input to a sketch-based object-recognizer with results that are either better, or on par with those obtained with the ground truth sketches provided with the dataset.
Cite
Text
Marvaniya et al. "Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images." European Conference on Computer Vision Workshops, 2012. doi:10.1007/978-3-642-33863-2_7Markdown
[Marvaniya et al. "Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images." European Conference on Computer Vision Workshops, 2012.](https://mlanthology.org/eccvw/2012/marvaniya2012eccvw-drawing/) doi:10.1007/978-3-642-33863-2_7BibTeX
@inproceedings{marvaniya2012eccvw-drawing,
title = {{Drawing an Automatic Sketch of Deformable Objects Using Only a Few Images}},
author = {Marvaniya, Smit and Bhattacharjee, Sreyasee and Manickavasagam, Venkatesh and Mittal, Anurag},
booktitle = {European Conference on Computer Vision Workshops},
year = {2012},
pages = {63-72},
doi = {10.1007/978-3-642-33863-2_7},
url = {https://mlanthology.org/eccvw/2012/marvaniya2012eccvw-drawing/}
}