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CLUSTER
2009
IEEE
14 years 2 months ago
Accelerating SIFT on parallel architectures
Abstract—SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requir...
Seth Warn, Wesley Emeneker, Jackson Cothren, Amy W...
ICIP
2010
IEEE
13 years 5 months ago
Image recognition using maximal cliques of interest points
This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measureme...
Fred Stentiford, Ade Bamidele
ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
14 years 1 months ago
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
Henrik Andreasson, André Treptow, Tom Ducke...
ACIVS
2006
Springer
13 years 11 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
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...