Multi-view reconstruction for projector camera systems based on bundle adjustment

Furukawa Ryo, K. Inose, Hiroshi Kawasaki
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引用次数: 8

Abstract

Range scanners using projector-camera systems have been studied actively in recent years as methods for measuring 3D shapes accurately and cost-effectively. To acquire an entire 3D shape of an object with such systems, the shape of the object should be captured from multiple directions and the set of captured shapes should be aligned using algorithms such as ICPs. Then, the aligned shapes are integrated into a single 3D shape model. However, the captured shapes are often distorted due to errors of intrinsic or extrinsic parameters of the camera and the projector. Because of these distortions, gaps between overlapped surfaces remain even after aligning the 3D shapes. In this paper, we propose a new method to capture an entire shape with high precision using an active stereo range scanner which consists of a projector and a camera with fixed relative positions. In the proposed method, minimization of calibration errors of the projector-camera pair and registration errors between 3D shapes from different viewpoints are simultaneously achieved. The proposed method can be considered as a variation of bundle adjustment techniques adapted to projector-camera systems. Since acquisition of correspondences between different views is not easy for projector-camera systems, a solution for the problem is also presented.
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基于束调整的投影摄像系统多视点重建
近年来,使用投影相机系统的距离扫描仪作为一种精确、经济有效地测量三维形状的方法得到了积极的研究。为了用这样的系统获得一个物体的完整3D形状,物体的形状应该从多个方向捕获,并且应该使用诸如icp之类的算法对捕获的形状集进行对齐。然后,将对齐的形状集成到单个3D形状模型中。然而,由于相机和投影仪的内在或外在参数的误差,捕获的形状经常失真。由于这些扭曲,即使在对齐3D形状之后,重叠表面之间的间隙仍然存在。在本文中,我们提出了一种利用由投影仪和固定相对位置的相机组成的有源立体距离扫描仪来高精度捕获整个形状的新方法。该方法同时实现了投影-相机对标定误差和不同视点三维形状配准误差的最小化。所提出的方法可以看作是适用于投影-摄像机系统的束平差技术的一种变体。由于投影-摄像机系统不易获取不同视点之间的对应关系,提出了一种解决方法。
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