Research on joint segment optimisation and stereo matching
Jian-Guo Liu, Li Yu, Xuesong Li, Shengheng Liu · IET Communications · 2017
Image segments are often used as a constraint in stereo matching. However, both over‐segmentation and under‐segmentation can lead to disparity degradation in some regions. To obtain an accurate disparity map, a modified semi‐global matching (SGM) algorithm is proposed which is based on adaptive window models. Introducing the object notion and build a new global energy function to optimise segments and estimate a disparity map jointly. The effective and efficient block coordinate descent approach is used to optimise the global energy function by merging small segments. The authors’ demonstrate the performance of the proposed algorithm on the KITTI and Middlebury benchmarks. The results show that the authors’ algorithm outperforms many state‐of‐the‐art methods and confirm the effectiveness of approach.