A Method of Feature Extraction and Compression of 3D Model
- 10.2991/icadme-15.2015.101How to use a DOI?
- Pre-processing; Perspective projection; Fourier transform; Compression
Feature extraction is a major concern in 3D retrieval, which decides its performance and efficiency. Therefore, feature extraction and compression become the keys to guarantee the retrieval’s performance and speed. The process is as follows: firstly, transform the standard 3D model to 2D images by perspective projection; secondly, transform these images to frequency domain by Fourier Transformation to get the vectors feature; lastly, compress the vectors to six dimensions. This algorithm solves the contradictions between large information and low speed, low information and low performance. Proved by the experiment: the solution is more effective and more rapidly.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zuojun Liu AU - Lihong Li AU - Mi Yu PY - 2015/10 DA - 2015/10 TI - A Method of Feature Extraction and Compression of 3D Model BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 505 EP - 509 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.101 DO - 10.2991/icadme-15.2015.101 ID - Liu2015/10 ER -