Abstract: Conventional quasi-dense matching algorithms are designed for general scene structures.A novel quasi-dense matching method is proposed for structured scenes, which is based on plane induced homography.First, sparse planar seed regions are detected and matched by using affine invariant detector and matcher.Then region growing algorithm is employed to propagate seed region to its neighboring pixel by using the constraints of both planar homography and similarity measure.The best-first strategy is used which make our algorithm robust to initial sparse match outliers.Further more, more accurate reconstruction can be achieved by post-processing of unreliable matches.Experiment results show that our algorithm is more stable and accurate than conventional algorithms.