电光与控制
電光與控製
전광여공제
ELECTRONICS OPTICS & CONTROL
2015年
4期
23-26,31
,共5页
立体视觉%图像配准%互信息%多分辨率%亚像素
立體視覺%圖像配準%互信息%多分辨率%亞像素
입체시각%도상배준%호신식%다분변솔%아상소
stereo vision%image matching%mutual information%multi-resolution%sub-pixel
在立体视觉测量中,为获得更高精度,往往需要将视差计算精确到亚像素级。将互信息理论引入双目图像配准并结合多分辨率技术实现亚像素级点匹配。采用Bouguet 立体校正算法对左右图像进行极线校正,利用Harris角点探测器检测目标并将获取角点作为待匹配点,采用最大互相关法进行搜索确定像素级匹配点。然后对以左右匹配点为中心的20×20邻域图像进行插值并分别放大10倍和100倍,采用互信息方法先对低分辨率图像进行配准,再在高分辨率图像上进一步细化求精,结合像素级匹配的整数视差可得最终亚像素级视差。实验结果表明,该方法能将视差精度提高到0.01像素。
在立體視覺測量中,為穫得更高精度,往往需要將視差計算精確到亞像素級。將互信息理論引入雙目圖像配準併結閤多分辨率技術實現亞像素級點匹配。採用Bouguet 立體校正算法對左右圖像進行極線校正,利用Harris角點探測器檢測目標併將穫取角點作為待匹配點,採用最大互相關法進行搜索確定像素級匹配點。然後對以左右匹配點為中心的20×20鄰域圖像進行插值併分彆放大10倍和100倍,採用互信息方法先對低分辨率圖像進行配準,再在高分辨率圖像上進一步細化求精,結閤像素級匹配的整數視差可得最終亞像素級視差。實驗結果錶明,該方法能將視差精度提高到0.01像素。
재입체시각측량중,위획득경고정도,왕왕수요장시차계산정학도아상소급。장호신식이론인입쌍목도상배준병결합다분변솔기술실현아상소급점필배。채용Bouguet 입체교정산법대좌우도상진행겁선교정,이용Harris각점탐측기검측목표병장획취각점작위대필배점,채용최대호상관법진행수색학정상소급필배점。연후대이좌우필배점위중심적20×20린역도상진행삽치병분별방대10배화100배,채용호신식방법선대저분변솔도상진행배준,재재고분변솔도상상진일보세화구정,결합상소급필배적정수시차가득최종아상소급시차。실험결과표명,해방법능장시차정도제고도0.01상소。
In order to improve the range-measuring accuracy in stereo vision,a sub-pixel parallax is needed.The Mutual Information (MI) theory is combined with multi-resolution method to realize the goal of sub-pixel point matching .Firstly,Bouguet algorithm is used to rectify the left and right images making their epipolar line forward-paralled .Then Harris corner detector is brought to find a most characteristic corner as candidate matching point .After that,Most Cross Correlation matching rule is introduced to search the matching point .The 20 ×20 areas whose center is the left and right matching point are magnified by 10 and 100 times respectively .The low-resolution image is registered with MI theory,followed by the seeking of higher precision in the high-resolution image .Finally,combined with the integer-grade parallax,we can get the sub-pixel parallax .The experimental result shows that the method used in this article can improve the precision to 0.01 pixel level.