Next-best-view algorithm for object reconstruction
Next-best-view algorithm for object reconstruction
复制标题
用于对象重建的次最佳视图算法
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
M. Abidi
中科院分区：
文献类型：
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作者：
Laurana M. Wong;C. Dumont;M. Abidi
三维物体重建中传感器规划的目标是获取关于物体的足够的二维信息以创建该物体的三维模型。这需要从不同的视角采集图像，配准每个视图，并将所有采集的信息集成到单个模型中。我们的重点是在采集阶段，我们希望确定传感器的姿态或观点，提供下一个最好的看法，在一个对象重建任务。下一个最佳视图（NBV）是确定新的传感器位置，该位置揭示了关于被建模对象的最佳未知信息量。NBV重建系统的目标通常是使用最少数量的视图对对象进行建模。我们完成这项任务的方法是在获得新视图后研究模型的体积表示。由于体积模型由已知和未知信息组成，因此我们希望找到可以获取最大数量未知数据的视点。NBV算法被集成到一个系统中，该系统从计算机对象模型获取合成范围数据，根据目标函数计算新的视点，并重建感兴趣对象的完整体积模型。对NBV算法进行了深入的描述，并给出了实验结果。还包括对相关工作的审查。
The goal of sensor planning in 3D object reconstruction is to acquire enough 2D information about an object to create a 3D model of that object. This requires the acquisition of images from different viewpoints, the registration of each view, and the integration of all acquired information into a single model. Our focus is on the acquisition stage, we want to determine sensor poses or viewpoints that provide the next best view in an object reconstruction task. The Next Best View (NBV) is the determination of a new sensor position that reveals an optimal amount of unknown information about the object being modeled. The goal of a NBV reconstruction system is usually to model an object using the smallest number of views. Our approach to complete this task is to study a volumetric representation of the model after a new view is obtained. Since the volumetric model consists of known and unknown information, we want to find the viewpoint from which the largest amount of unknown data can be acquired. The NBV algorithm is integrated into a system that acquires synthetic range data from a computer object model, calculates new viewpoints according to an objective function, and reconstructs a complete volumetric model of the object of interest. The NBV algorithm is described in depth and experimental results are given. Also included is a review of related work.