Volume 6, Issue 2
A Sketch-based 3D Garment Model Retrieval Algorithm

Yanxing Ou, Ruomei Wang, Fan Zhou & Li Liu

Journal of Fiber Bioengineering & Informatics, 6 (2013), pp. 217-224.

Published online: 2013-06

Preview Purchase PDF 0 1802
Export citation
  • 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.

  • Keywords

Model Retrieval Sketch-Based Retrieval 3D Garment Retrieval

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@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} }
TY - JOUR T1 - A Sketch-based 3D Garment Model Retrieval Algorithm JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 217 EP - 224 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.3993/jfbi06201310 UR - https://global-sci.org/intro/article_detail/jfbi/4836.html KW - Model Retrieval KW - Sketch-Based Retrieval KW - 3D Garment Retrieval AB - 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.
Yanxing Ou, Ruomei Wang, Fan Zhou & Li Liu. (2019). A Sketch-based 3D Garment Model Retrieval Algorithm. Journal of Fiber Bioengineering and Informatics. 6 (2). 217-224. doi:10.3993/jfbi06201310
Copy to clipboard
The citation has been copied to your clipboard