计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
11期
205-208
,共4页
目标匹配%Harris算法%几何哈希法%仿射不变性%尺度不变特征变换
目標匹配%Harris算法%幾何哈希法%倣射不變性%呎度不變特徵變換
목표필배%Harris산법%궤하합희법%방사불변성%척도불변특정변환
objects matching%Harris algorithm%geometric Hash algorithm%affine invariant%Scale Invariant Feature Transform(SIFT)
复杂环境下的目标匹配会受到物体缩放、旋转、遮挡及光强变化等影响，是模式识别领域的一项难题。针对该问题，提出一种基于Harris算法和改进几何哈希法的目标匹配方法。利用Harris角点提取算法检测兴趣点，通过改进的几何哈希法实现多目标匹配。实验结果表明，该方法可实现复杂环境下的目标匹配，提高匹配精度和速度。
複雜環境下的目標匹配會受到物體縮放、鏇轉、遮擋及光彊變化等影響，是模式識彆領域的一項難題。針對該問題，提齣一種基于Harris算法和改進幾何哈希法的目標匹配方法。利用Harris角點提取算法檢測興趣點，通過改進的幾何哈希法實現多目標匹配。實驗結果錶明，該方法可實現複雜環境下的目標匹配，提高匹配精度和速度。
복잡배경하적목표필배회수도물체축방、선전、차당급광강변화등영향，시모식식별영역적일항난제。침대해문제，제출일충기우Harris산법화개진궤하합희법적목표필배방법。이용Harris각점제취산법검측흥취점，통과개진적궤하합희법실현다목표필배。실험결과표명，해방법가실현복잡배경하적목표필배，제고필배정도화속도。
It is a very important but also a tough issue to matching objects in the field of pattern recognition as objects may be influenced by themselves such as scale, rotation, obstacle and also intensity change in the process of recognition. In allusion to this problem, an object matching method based on Harris algorithm and geometric Hash algorithm is proposed. The extraction of interested point features combined with the structure information of geometric Hash algorithm is used. Experimental results show that not only it is possible for this method to match complex objects, but also the accuracy and speed are increased.
