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首页> 外文会议>Computational Intelligence for Image Processing, 2009. CIIP '09 >3-D reconstruction and automatic fusion of edge maps from different modalities of an object
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3-D reconstruction and automatic fusion of edge maps from different modalities of an object

机译：来自物体不同形态的边缘图的3D重建和自动融合

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The paper presents reconstruction of a 3-D model as well as automatic fusion of edge maps extracted from the 3-D model and intensity image of an object. A data acquisition system has been developed with a laser source and camera. The 3-D model of the object is reconstructed by registration and integration of a set of range images obtained from scanning the object by laser beam. The intensity image of the object is captured under illumination light. Edge maps in both the cases are extracted by appropriate techniques. The corner points of various shapes in both the edge maps are obtained by implementing a technique using shape signatures. 3-D edge points are mapped to 2-D plane with the help of perspective transformation. A novel algorithm has been proposed for the establishment of automatic correspondence between the corner points in both the edge maps. The method for automatic fusion of edge maps using affine transformation followed by iterative closest point algorithm has been introduced. Range and intensity images are complementary in nature and provide a richness of description which is not possible with either source in isolation.
机译：本文介绍了3D模型的重建以及从3D模型中提取的边缘图与对象强度图像的自动融合。已经开发了具有激光源和照相机的数据采集系统。通过对一组激光图像扫描获得的距离图像进行配准和积分，可以重建对象的3-D模型。在照明光下拍摄物体的强度图像。两种情况下的边缘图都是通过适当的技术提取的。通过实施使用形状签名的技术来获得两个边缘图中的各种形状的角点。借助透视变换将3-D边缘点映射到2-D平面。已经提出了一种新颖的算法，用于在两个边缘图中的角点之间建立自动对应。介绍了一种利用仿射变换和迭代最近点算法自动融合边缘图的方法。距离和强度图像本质上是互补的，并且提供了丰富的描述，这对于任何一个单独的信号源都是不可能的。

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