@Article{JFBI-6-217,
author = {},
title = {A Sketch-based 3D Garment Model Retrieval Algorithm},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2013},
volume = {6},
number = {2},
pages = {217--224},
abstract = {With the rapid increase in the number of available 3D garment models, the ability to accurately and
effectively search for 3D garment model is crucial for many applications such as industrial design and
engineering, and in areas such as manufacturing. In this paper, a sketch-based 3D garment model
retrieval algorithm is reported. Users can draw their sketch images according to their interest sensations.
Then they can retrieve the 3D garment from the 3D garment database. Each garment in database is
used to render an associated image to represent it. Then local features are extracted based on Gabor
filtering for each image and the input sketch. The bag of features model is used for vectorizing each image
and the sketch. Then the cosine similarities of each garment with the sketch are computed.Evaluations
are performed to show the retrieval performance ofthe proposed algorithm.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi06201310},
url = {http://global-sci.org/intro/article_detail/jfbi/4836.html}
}