Research on Service Robot Vision Alignment Algorithm Based on the SIFT Characteristic

Dianjun Wang, Hongxing Wei, Xiaohui Wang, Aiming Shen, R. Fujun
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Abstract

For service robot vision localization requirements, the localization technology research based on the image SIFT characteristic was introduced. The space examination, the precise positions of characteristic points, the direction parameters of the assigned operator and the description of the characteristic point were analyzed. At the same time, the stability under the condition of image zoom, rotation and affine transformation was analyzed according to experiments. Experiments result shows that the SIFT characteristic has the proportion zoom invariability, the revolving invariability, the part affine invariability and a high recognition rate at complex environments. On the basis of above work, the vision localization method based on SIFT characteristic turns out to be an applicable technology in in-building complex environment.
基于SIFT特性的服务机器人视觉对准算法研究
针对服务机器人的视觉定位需求,介绍了基于图像SIFT特征的定位技术研究。分析了空间检测、特征点的精确位置、分配算子的方向参数和特征点的描述。同时,根据实验分析了该系统在图像变焦、旋转和仿射变换条件下的稳定性。实验结果表明,SIFT具有比例变焦不变性、旋转不变性、部分仿射不变性,在复杂环境下具有较高的识别率。在以上工作的基础上,基于SIFT特征的视觉定位方法是一种适用于建筑内部复杂环境的技术。
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