In this paper, we propose a novel method to simultaneously and accurately estimate the 3D shape and 3D motion of a dynamic scene from multiple-viewpoint calibrated videos. We follo...
We present an unsupervised image registration algorithm to estimate the background object motion in a real video sequence. The algorithm is based on a Gaussian minimisation techni...
We investigate the relationship between camera design and 3D photography, by examining the influence of camera design on the estimation of the motion and structure of a scene fro...
This paper proposes an algorithm for rejecting false matches (known as outliers) in image pairs acquired with automobile-mounted cameras. Many intelligent vehicle applications req...
Jae Kyu Suhr, Ho Gi Jung, Kwanghyuk Bae, Jaihie Ki...
A method is introduced to track the object’s motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimati...