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» Robust Image Registration using Mixtures of t-distributions
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ECCV
2008
Springer
14 years 9 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 2 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
ISMAR
2006
IEEE
14 years 1 months ago
Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes
Augmented Reality (AR) aims to fuse a virtual world and a real one in an image stream. When considering only a vision sensor, it relies on registration techniques that have to be ...
Muriel Pressigout, Éric Marchand
CVPR
2011
IEEE
12 years 11 months ago
Novelty detection from an Ego-centric perspective
This paper demonstrates a system for the automatic extraction of novelty in images captured from a small video camera attached to a subject’s chest, replicating his visual persp...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
CVPR
2007
IEEE
14 years 9 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart