| | |
Summary: Radon space and Adaboost for Pose Estimation
Patrick Etyngier1
Nikos Paragios2
Renaud Keriven1
Yakup Genc3
Jean-Yves Audibert1
1
CERTIS Laboratory 2
MAS Laboratory 3
Siemens Corporate Research
Ecole des Ponts, Paris, France Ecole Centrale Paris, France Princeton NJ, USA
etyngier@certis.enpc.fr nikos.paragios@ecp.fr yakup.genc@siemens.com
Abstract
In this paper, we present a new approach to camera pose
estimation from single shot images in known environment.
Such a method comprises two stages, a learning step and
an inference stage where given a new image we recover the
exact camera position. Lines that are recovered in the radon
space consist of our feature space. Such features are associ-
ated with [AdaBoost] learners that capture the wide image
|
