基于智能优化算法的非刚体三维运动结构重建被引量：4

Non-rigid 3D Motion and Shape Reconstruction Based on Intelligent Optimization Algorithm

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摘要从动态图像序列中恢复非刚性物体的3D运动和结构是计算机视觉领域中重要的研究内容之一。之前大多算法都假设摄像机是仿射摄像机模型,但是这种假设在目标距相机很近时会变得无效和产生较大的重建误差。通过线性递归估计法将非刚体的因式分解从弱透视投影模型扩展到一般透视投影模型,并在线性递归估计过程中使用遗传算法(GA)对迭代因子进行优化。实验结果表明提出的方法具有很高的准确性。 This paper extendes the non-rigid factorization from weak perspective projection model to the general perspective projection model by the linear recursive estimation algorithm.During the linear recursive estimation process,we utilize the genetic algorithm to optimize iterative coefficient.Experimental results show that the proposed method has high accuracy.

作者吴永江汪亚明郑俊褒谢建龙

机构地区浙江理工大学信息学院

出处《工业控制计算机》 2014年第5期97-98,100,共3页 Industrial Control Computer

基金国家自然科学基金项目(61272311 61070063) 浙江省自然科学基金项目(LY13F020042)

关键词非刚体因式分解透视投影线性递归估计 GA non-rigid factorization,perspective projection,linear recursive estimation,GA

分类号 TP391.41 [自动化与计算机技术—计算机应用技术]

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参考文献7

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