In this paper we consider the problem of recovering the free space of an indoor scene from its single image. We show that exploiting the box like geometric structure of furniture ...
In this paper we propose a novel Conditional Random Field (CRF) formulation for the semantic scene labeling problem which is able to enforce temporal consistency between consecuti...
A class of techniques in computer vision and graphics is based on capturing multiple images of a scene under different illumination conditions. These techniques explore variations...
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
We show that multi-path analysis using images from a timeof-flight (ToF) camera provides a tantalizing opportunity to infer about 3D geometry of not only visible but hidden parts ...
Ahmed Kirmani, Tyler Hutchison, James Davis, Rames...
Projective texture mapping is used to project a texture map onto scene geometry. It has been used in many applications, since it eliminates the assignment of fixed texture coordin...
The aim of this work is to render high-quality views of a dynamic scene from novel viewpoints in real-time. An online system available at our institute computes the visual hull as...
We present a new rendering technique, termed LOD-sprite rendering, which uses a combination of a level-of-detail (LOD) representation of the scene together with reusing image spri...
Baoquan Chen, J. Edward Swan II, Eddy Kuo, Arie E....
This paper describes a method to recover scene geometry from the second-bounce of light transport. We show that form factors (up to a scaling ambiguity) can be derived from the sec...
We present an online learning approach for robustly combining unreliable
observations from a pedestrian detector to estimate the rough 3D scene geometry
from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...