Pose Variant Image Matching by Partial Selecting Area Using Genetic Algorithm

DOI Web Site 16 References

Bibliographic Information

Other Title
  • GAを用いた領域選択による姿勢変化対応型画像照合
  • GA オ モチイタ リョウイキ センタク ニ ヨル シセイ ヘンカ タイオウガタ ガゾウ ショウゴウ

Search this article

Abstract

Normalized correlation matching is a typical method for template matching. However, the target image area to be searched must have the right position and the same scale as the template image. It may be required a template matching method to search the target image area that has free location, inclination and scale in an objective image. But, it needs large computational cost because two-dimensional pose parameters must be set in the sequential matching. Besides, a template image registered by the manual operation is not always optimal for the reliability and the computational cost for the image matching. This paper proposes a method to search the target image area efficiently that has free location, inclination and scale in objective image. The genetic algorithm is applied to both the template registration process and the image matching process to reduce the computational cost with maintaining the reliability. The experimental results show that the high-speed image matching was realized by the proposal method.<br>

Journal

References(16)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top