Structural Causal 3D Reconstruction

A structural approach for 3D building reconstruction

In this report, we present a 3D building reconstruction method based on a structural approach. It consists in reconstructing buildings by assembling simple urban structures extracted from a grammar of 3D parametric models. This method is composed of two stages. The rst one, which has already been tackled in previous works, consists in extracting the building footprints through con gurations of ...

Causal Reconstruction

Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. This task is diicult because written descriptions often do not specify exactly how referenced events t together. This article (1) characterizes the causal reconstruction problem, (2) pre...

3D Reconstruction

In this paper we present a novel algorithm for reconstructing 3D scenes from a set of images. The user defines a set of polygonal regions with corresponding labels in each image using familiar 2D photo-editing tools. Our reconstruction algorithm computes the 3D model with maximum volume that is consistent with the set of regions in the input images. The algorithm is fast, uses only 2D intersect...

3d Reconstruction of Plants

Automatic 3D building reconstruction

We present a knowledge-based system for automatic 3D building reconstruction from aerial images. Our approach relies on combining pairs of stereo images with 2D GIS map and domain knowledge. Since most buildings can be described as aggregation of simple building types, the domain knowledge is represented in a building library containing building primitives (flat, gable, and hip roof building). ...