This paper introduces a new process, environment matting, which captures not just a foreground object and its traditional opacity matte from a real-world scene, but also a descrip...
Douglas E. Zongker, Dawn M. Werner, Brian Curless,...
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
In this article, we present how it is possible to recover physical parameters of objects such as reflectivity, emissivity and thermal inertia from the analysis of infrared images ...
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...