Vision sensor planning for 3-D model acquisition
Vision sensor planning for 3-D model acquisition
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DOI：
10.1109/tsmcb.2005.846907
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发表时间：
2005-10-01
影响因子：
--
通讯作者：
Li, YF
中科院分区：
文献类型：
--
作者：
Chen, SY;Li, YF
本文提出了一种通过主动视觉系统自动获取未知物体三维（3-D）模型的新方法，其中视觉传感器从目标周围的一个视点移动到下一个视点以获得完整的模型。在每个步骤中，都会自动确定传感参数，以逐步构建 3D 目标模型。该方法是通过分析目标的趋势面来发展的，趋势面是描述全局变化趋势的区域特征面。虽然以前的趋势分析方法通常侧重于生成多项式方程来解释三维回归表面，但本文提出了一种新的数学模型来预测物体表面的未知区域。通过分析表面曲率建立均匀表面模型。此外，定义了一个标准来确定探索方向，并开发了一种算法来确定下一个视图的参数。该方法的实施是为了验证所提出的方法。
A novel method is proposed in this paper for automatic acquisition of three-dimensional (3-D) models of unknown objects by an active vision system, in which the vision sensor is to be moved from one viewpoint to the next around the target to obtain its complete model. In each step, sensing parameters are determined automatically for incrementally building the 3-D target models. The method is developed by analyzing the target's trend surface, which is,the regional feature of a surface for describing the global tendency of change. While previous approaches to trend analysis are usually focused on generating polynomial equations for interpreting regression surfaces in three dimensions, this paper proposes a new mathematical model for predicting the unknown area of the object surface. A uniform surface model is established by analyzing the surface curvatures. Furthermore, a criterion is defined to determine the exploration direction, and an algorithm is developed for determining the parameters of the next view. Implementation of the method is carried out to validate the proposed method.