Navona

Navona数据集是主要用于3D重建的图像数据集，它引入了一种用于计算结构和运动的新颖分层方案。使用重叠度量作为距离，通过聚集聚类将图像组织到树中。然后沿着这棵树从叶子到根部重建。此数据集由维也纳大学计算机科学系发布，主要由R.托尔多，R盖拉迪，男法伦泽纳和A。福西洛。

The Navona Dataset is an image dataset primarily used for 3D reconstruction, which introduces a novel hierarchical scheme for computing structure and motion. It organizes images into a tree structure via agglomerative clustering using the overlap metric as the distance measure. Reconstruction is then performed along this tree from the leaves to the root. This dataset was released by the Department of Computer Science, University of Vienna, and was primarily developed by R. Toldo, R. Galliani, M. Farenzena, and A. Fusiello.

搜集汇总

背景与挑战

背景概述

Navona是一个用于3D重建的图像数据集，采用基于重叠度量的分层聚类方案，将图像组织成树状结构进行重建。该数据集由维也纳大学计算机科学系发布，相关作者包括R.托尔多、R盖拉迪、男法伦泽纳和A。福西洛。