广西科学院学报
廣西科學院學報
엄서과학원학보
JOURNAL OF GUANGXI ACADEMY OF SCIENCES
2014年
1期
51-54
,共4页
SIFT%三维重建%重投影误差%归一化互相关( NCC)%主方向%正确匹配率%精度
SIFT%三維重建%重投影誤差%歸一化互相關( NCC)%主方嚮%正確匹配率%精度
SIFT%삼유중건%중투영오차%귀일화호상관( NCC)%주방향%정학필배솔%정도
SIFT%3D reconstruction%reprojection error%normalized cross correlation ( NCC)%dominant direction%correct matching rate%precision
[目的]为了减小三维重建的重投影误差,提出一种改进的SIFT( Scale Invariant Feature Transform)算法。[方法]首先使用SIFT提取和匹配特征点,将这些匹配点作为归一化互相关( Normalized Cross-correlati-on, NCC)的初始匹配对；然后使用特征点的主方向对局部图像进行旋转校正；最后计算该初始匹配对NCC系数并将相似地貌中的误配点剔除。[结果]该方法剔除了大量的误配点,提高了特征点的正确匹配率和重建结果的精度。[结论]改进的SIFT算法能够得到更为准确的匹配点对,获得较好的重建效果。
[目的]為瞭減小三維重建的重投影誤差,提齣一種改進的SIFT( Scale Invariant Feature Transform)算法。[方法]首先使用SIFT提取和匹配特徵點,將這些匹配點作為歸一化互相關( Normalized Cross-correlati-on, NCC)的初始匹配對；然後使用特徵點的主方嚮對跼部圖像進行鏇轉校正；最後計算該初始匹配對NCC繫數併將相似地貌中的誤配點剔除。[結果]該方法剔除瞭大量的誤配點,提高瞭特徵點的正確匹配率和重建結果的精度。[結論]改進的SIFT算法能夠得到更為準確的匹配點對,穫得較好的重建效果。
[목적]위료감소삼유중건적중투영오차,제출일충개진적SIFT( Scale Invariant Feature Transform)산법。[방법]수선사용SIFT제취화필배특정점,장저사필배점작위귀일화호상관( Normalized Cross-correlati-on, NCC)적초시필배대；연후사용특정점적주방향대국부도상진행선전교정；최후계산해초시필배대NCC계수병장상사지모중적오배점척제。[결과]해방법척제료대량적오배점,제고료특정점적정학필배솔화중건결과적정도。[결론]개진적SIFT산법능구득도경위준학적필배점대,획득교호적중건효과。
[Objective]In order to reduce the reprojection error of reconstruction, an improved SIFT algorithm is proposed. [Method]Firstly, SIFT is used to detect and match the features. These match points are used as the initial match on normalized cross-correlation ( NCC ) . Then dominant direction of feature points is used for rotation correction of local image. Finally, the coefficient of normalized cross-correlation matching( NCC) is calculated and the mismatches points in the similar geographical environment are removed.[Result]This method removes a lot of mismatches points, and improves the rate of correct matching and precision of reconstruction.[Conclusion]Experiment results show that the improved algorithm can achieve reconstruction effect.
