An image mosaic algorithm based on disparity gradient
Lei Wang · Chinese Journal of Stereology and Image Analysis · 2009
The matching of feature points is the key technique of image mosaic.SIFT operator proposed by Lowe,et al,with scale,rotation,perspective,illumination invariance,can be effectively used to reconstruct a 3D object and recognize a complex object.This operator denotes each feature point by 128-dimensional vector,so large amount of data needs to be processed and the real-time requirement can not be achieved.By changing description structure of feature point,the number of dimension of feature vector is reduced in this study.In addition,a matching algorithm based on the disparity gradient constraint is performed.In the process of matching,the algorithm uses Least-Median-Squares estimation to eliminate false matching pairs.The results of experiments demonstrate that this algorithm is able to reduce the matching time as well as has good robustness in the circumstances with more deformation,distortion and noise. Therefore,based on this algorithm the real-time requirement can be achieved.