Automatic shape reconstruction of rigid 3-D objects from multiple calibrated images
Automatic shape reconstruction of rigid 3-D objects from multiple calibrated images
复制标题
根据多个校准图像自动重建刚性 3D 物体的形状
DOI：
10.5281/zenodo.37477
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
G. Eckert
中科院分区：
文献类型：
--
作者：
G. Eckert
我们提出了一种方法，用于重建一个刚性的3-D物体的形状的基础上，从任意的相机设置多个校准的图像。该算法具有较强的鲁棒性，能够重建凹陷。它是基于这样的想法来重建一个照片一致的形状雕刻和着色体素从体积描述的对象。对于每个可见体素，相对于来自输入图像的颜色验证执行着色和雕刻步骤。与其他方法相比，用于颜色验证的阈值是自动适应的。输入图像中包括的信息被同时处理和应用，而不需要对体积进行任何明确的积分或分配。该方法使用摄像机图像的真实的场景进行评估。
We present a method for reconstructing the shape of a rigid 3-D object based on multiple calibrated images from an arbitrary camera setup. The algorithm is robust and able to reconstruct concavities. It is based on the idea to reconstruct a photo-consistent shape by carving and coloring voxels from a volume description of the object. Coloring and carving steps are carried out with respect to a color verification from the input images for each visible voxel. As compared to other approaches, the threshold used for the color verification is adapted automatically. Information included in the input images is processed and applied simultaneously without any explicit integration or assignment to the volume. The approach is evaluated using camera images of a real scene.