Optimization of Image Matching Algorithm with Scale Invariant Features Transform

DOI

10.2991/icamcs-16.2016.26How to use a DOI?

Keywords

Image matching, DOG pyramid, SIFT feature matching algorithm, Scale space

Abstract

Image exists in many key points, these points to the change of brightness the phenomenon such as scale; scale has the characteristics of stable constant. SIFT feature matching algorithm is based on the key points to complete the image matching. It has the very strong matching ability, as the image illumination change between, rotation, displacement, affine transformation and perspective transformation, and so on and so forth, can still complete accurate image matching.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Li Guo
AU  - Yuqin Yao
PY  - 2016/06
DA  - 2016/06
TI  - Optimization of Image Matching Algorithm with Scale Invariant Features Transform
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 136
EP  - 140
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.26
DO  - 10.2991/icamcs-16.2016.26
ID  - Guo2016/06
ER  -