We present an approach to interpret the major surfaces, objects, and support relations of an
indoor scene from an RGBD image. Most existing work ignores physical interactions or is …

3D layout is crucial for scene understanding and reconstruction, and very useful in
applications like real estate and furniture design. In this paper, we propose a fully automatic …

In this paper, we propose a learning-based approach to the task of automatically extracting
a" wireframe" representation for images of cluttered man-made environments. The wireframe …

This paper tackles the problem of computing topological invariants of geometric objects in a
robust manner, using only point cloud data sampled from the object. It is now widely …

Image understanding requires not only individually estimating elements of the visual world
but also capturing the interplay among them. In this paper, we provide a framework for …

We address the problem of efficiently estimating the rotation of a camera relative to the
canonical 3D Cartesian frame of an urban scene, under the so-called “Manhattan World” …

We present an algorithm that quickly and accurately estimates vanishing points in images of
man-made environments. Contrary to previously proposed solutions, ours is neither iterative …

Image understanding requires not only individually estimating elements of the visual world
but also capturing the interplay among them. In this paper, we provide a framework for …

Bitcoin is a digital currency whose transactions are stored into a public ledger, called
blockchain, that can be viewed as a directed graph with more than 70 million nodes, where …

When we look at a picture, our prior knowledge about the world allows us to resolve some of
the ambiguities that are inherent to monocular vision, and thereby infer 3d information about …