本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm is proposed.
该算法结合“足够好就停止搜索”的思想和六边形搜索模式的高速特性，能快速找到匹配点。
The proposed algorithm takes advantages of "stop when good enough" spirit and high speedup gain of hexagon-based search pattern (HEXBS) to find suited points quickly.
本文基于现实视频序列中运动向量的分布特征，提出了一种十字交叉六边形搜索算法(NHEXS)。
Based on the motion vector distribution characteristics of real video sequences, a new cross-hexagon search algorithm (NHEXS) is proposed.
分析机器人依靠传感器通过测量地表土壤中气味浓度搜索地下气味源的定步长六边形路径算法的不足，对其进行改进。
This paper analyzed the disadvantages of the traditional algorithm of hex-path odor searching algorithm, which can guide a mobile robot with single gas sensor to search for underground odor source.
仿真结果表明，在重建图像质量接近全搜索的同时，新算法比六边形算法减少了约10%的搜索点数。
Simulation result shows that the proposed algorithm has a prediction quality near to the Full Search, and reduces the search points in about 10% relative to the Hexagon Search Algorithm.
仿真结果表明，在重建图像质量接近全搜索的同时，新算法比六边形算法减少了约10%的搜索点数。
Simulation result shows that the proposed algorithm has a prediction quality near to the Full Search, and reduces the search points in about 10% relative to the Hexagon Search Algorithm.
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