Registration of Range Images Using Texture of High-Resolution Color Images

Registration of Range Images Using Texture of High-Resolution Color Images
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使用高分辨率彩色图像的纹理配准范围图像

DOI:
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发表时间:
2004
期刊:
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影响因子:
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通讯作者:
H. Saito
H. Saito
中科院分区:
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作者:
Kazushi Yoshida;H. Saito

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我们提出了一种新的方法建模高品质的三维模型的形状和外观对齐多视图范围内的图像获得的距离扫描仪和多视图的彩色图像拍摄的高分辨率彩色相机周围的对象。该方法利用高分辨率彩色图像的纹理一致性,实现深度图像的精确配准。我们的注册方法包括以下两个阶段。第一阶段的配准是通过ICP算法完成的,该算法利用高分辨率彩色图像的信息搜索对应点。ICP算法是一种寻找不同深度图像对应点的配准方法,它对初始位置依赖性很大,因此本文利用高分辨率彩色图像对ICP算法进行了改进。第二阶段的配准是利用高分辨率图像和变形图像的差值来完成的。翘曲图像是通过从一个数据集的视点观察另一个数据集的距离图像和高分辨率图像来创建的。从另一个角度优化了坐标变换,减小了高分辨率图像和变形图像的微分误差。这个过程大大减少了最终重建模型表面上纹理与另一个视点的不对齐。我们目前的结果表明,我们的方法的能力,创建现实的3D模型的实际对象。
We propose a novel method of modeling high quality 3D model in shape and appearance by aligning multiple view range images obtained by a range scanner and multiple view color images taken by a high-resolution color camera around the object. In the proposed method, we achieve accurate registration of range images by using texture consistency of the high-resolution color images. Our registration method consists of the following two stages. First stage of registration is done by the ICP algorithm with searching corresponding points using information of the high-resolution color images. ICP algorithm is one of the registration method searching correspondence points of different range images, which greatly depends on initial position, so we improve it by using the high-resolution color images. Second stage of registration is accomplished by using difference value of the high-resolution image and the warping image. Warping image is created by viewing one data set of range image and high-resolution image from the view-point of another data set. Coordinate transformation is optimized to reduce differential error of high-resolution image and warping image from another viewpoint. This process drastically reduces misalignment of textures from another viewpoints on the surface of the finally reconstructed model. We present results that demonstrate our approach’s ability to create realistic 3D model of the actual object.
自组装与功能材料、尖端材料系统One Point 3
DOI: --
发表时间: 2012
期刊:
影响因子: --
作者:
和田勉;土井幸輝;天野真衣;片桐麻優;藤本浩志;佐々木善浩,秋吉一成
通讯作者: 佐々木善浩,秋吉一成