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 ...
— 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 technique for building a three-dimensional description of a static scene from a spatiotemporal image is presented. This technique utilizes Homocentric Spherical Spatiotemporal I...
This paper presents a novel image-based approach to generate a video of a scene based on only three wide-baseline uncalibrated images without the use of a 3D model. After automati...
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...