In order to get precise and dense disparity maps, a stereo matching algorithm using adaptive cost aggregation and dynamic programming is proposed.
为了得到准确、稠密的视差图，提出了一种利用自适应能量聚集和动态规划的立体匹配算法。
After translating from information model to ontology, mapping results were generated by the dynamic adaptive multi-strategy ontology matching.
该方法将信息模型转换为本体后，通过动态适应的多策略本体匹配得到映射结果。
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