earticle

논문검색

A Method Using Auxiliary Direction to Improve SURF Recall

초록

영어

Classic SURF algorithm may lead to matching failure, low recall because of incorrect main direction when constructing feature points describing operator. To solve it, A Method using auxiliary direction to improve SURF recall is put forward. The improved algorithm first select out auxiliary direction which is similar to main direction in characteristics, then generate new operator for describing the auxiliary direction characteristic. When matching, the improved algorithm adopts stricter nearest neighbor proportion inhibition. Experimental results show that feature point recall increase about 6% compared with the classical SURF while maintaining the precision.

목차

Abstract
 1. Introduction
 2. Detecting and Matching Feature Points in SURF
  2.1 Constructing Scale Space
  2.2 Determining Feature Points
  2.3 Distributing Principal Direction
  2.4 Generating Descriptor
  2.5 Matching Feature Points
  2.6 The Performance Index of Algorithm
 3. Using Auxiliary Direction to Improve SURF Algorithm
  3.1 The Reason of Introducing Auxiliary Direction
  3.2 The Method of Introducing Auxiliary Direction
  3.3 The Preliminary Effect of Introducing Auxiliary Direction
  3.4 The Changes of Matching Inhibition Policy
  3.5 The Flow Diagram of the Improvement
 4. The Result and the Analysis of the Experiment
  4.1. Experimental Parameters Setting
  4.2. Contrast Experiment
  4.3 Analysis of Experimental Results
 5. Conclusions
 References

저자정보

  • Linhua Zhang Computer Engineering Department, Taiyuan Institute of Technology, Taiyuan, 030008 China
  • Xiaodong Yue Computer Engineering and Science College, Shanghai University, Shanghai, 200444 China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.