基于双目相机的图像拼接

提出一种基于双目相机的图像拼接方法，对安放在移动机器人上不同位置的2个相机在同一时刻所拍摄到的图像进行拼接，引入自适应的非极大值抑制技术，只在图像的重叠区域进行Harris角点检测，并结合小波变换和对极几何，对图像进行快速特征匹配。在图像融合中，构造一种非线性的过渡函数，使图像重叠区域之间的过渡更平滑。实验结果表明，与传统方法相比，该方法的效率更高。

Image Mosaicing Based on Binocular Cameras

Approximately duplicated records in multi-source data integration is one of the key factors affecting the data quality. A data grouping algorithm based on properties optimization of records is proposed in order to improve identification accuracy and detection efficiency. The method firstly calculates the variance of a property to determine the weight of the property, then chooses the property of larger weight to split the data sets into small data sets according to the thoughts on data grouping and duplicated records are identified based on the algorithm of fuzzy matching. Through theory analysis and experiments, it shows that identification accuracy and detection efficiency of the method are higher and it can effectively solve the problems of identification in approximately duplicate records of the data integration.