计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
3期
166-170
,共5页
局部跟踪%加速稳健特征(SURF)特征提取%光流法%单应性矩阵%三维注册
跼部跟蹤%加速穩健特徵(SURF)特徵提取%光流法%單應性矩陣%三維註冊
국부근종%가속은건특정(SURF)특정제취%광류법%단응성구진%삼유주책
region-based tracking%Speeded Up Robust Features(SURF)feature extraction%optical flow method%homog-raphy%3D-registration
提出一种基于SURF与光流法相结合的增强现实局部跟踪注册方法。采用光流法对移动对象区域进行跟踪，利用SURF算法仿射、尺度不变性及运算速度快的优点对该区域进行特征提取与匹配，利用相邻帧之间特征点的匹配关系求得三维注册矩阵，在保持注册精确性的同时降低了系统运算时间。实验结果表明该方法达到了实时跟踪与准确注册的效果，并且在环境变化时保持了较好的鲁棒性。
提齣一種基于SURF與光流法相結閤的增彊現實跼部跟蹤註冊方法。採用光流法對移動對象區域進行跟蹤，利用SURF算法倣射、呎度不變性及運算速度快的優點對該區域進行特徵提取與匹配，利用相鄰幀之間特徵點的匹配關繫求得三維註冊矩陣，在保持註冊精確性的同時降低瞭繫統運算時間。實驗結果錶明該方法達到瞭實時跟蹤與準確註冊的效果，併且在環境變化時保持瞭較好的魯棒性。
제출일충기우SURF여광류법상결합적증강현실국부근종주책방법。채용광류법대이동대상구역진행근종，이용SURF산법방사、척도불변성급운산속도쾌적우점대해구역진행특정제취여필배，이용상린정지간특정점적필배관계구득삼유주책구진，재보지주책정학성적동시강저료계통운산시간。실험결과표명해방법체도료실시근종여준학주책적효과，병차재배경변화시보지료교호적로봉성。
A tracking and registration method based on SURF and optical flow in the AR is proposed. The moving object region is tracked by the optical flow method. This paper extracts and matches the features of the region with SURF because the algorithm maintains advantages of affine invariance, scale invariance and fast computing speed. The final registration matrix is calculated using the homographies between adjacent frames. This method reduces the computational time deeply while the accuracy of the registration unchanges. Convinced by experimental results, this approach can work at almost real time and achieves accurate registration, and can keep a good robustness in some environment changes.
