no code implementations • ICCV 2017 • Danda Pani Paudel, Adlane Habed, Luc van Gool
This paper addresses the problem of estimating the geometric transformation relating two distinct visual modalities (e. g. an image and a map, or a projective structure and a Euclidean 3D model) while relying only on semantic cues, such as semantically segmented regions or object bounding boxes.
no code implementations • ICCV 2015 • Danda Pani Paudel, Adlane Habed, Cedric Demonceaux, Pascal Vasseur
This paper deals with the problem of registering a known structured 3D scene and its metric Structure-from-Motion (SfM) counterpart.
no code implementations • CVPR 2015 • Danda Pani Paudel, Adlane Habed, Cedric Demonceaux, Pascal Vasseur
This paper investigates the problem of registering a scanned scene, represented by 3D Euclidean point coordinates, and two or more uncalibrated cameras.
no code implementations • CVPR 2014 • Adlane Habed, Danda Pani Paudel, Cedric Demonceaux, David Fofi
We present a new globally optimal algorithm for self-calibrating a moving camera with constant parameters.