To acquire the precise 3D space information, this paper proposed a stereo matching method based on key region to obtain 3D models. Firstly, we extract matched feature points by creating nonlinear scale spaces with efficient local feature descriptors. Subsequently, object areas are localized based on these feature points using an improved region growing algorithm. Finally, we utilize an improved stereo matching method with three different pixel features matching costs and the non-local cost aggregation to compute the disparity map. The original 3D position information of the corresponding area can be computed by the map. The accuracy and efficiency of the proposed method are evaluated quantitatively on benchmark data.
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