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» OmniSIFT: Scale invariant features in omnidirectional images
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RAS
2007
85views more  RAS 2007»
13 years 7 months ago
Self-localization in non-stationary environments using omni-directional vision
This paper presents an image-based approach for localization in non-static environments using local feature descriptors, and its experimental evaluation in a large, dynamic, popul...
Henrik Andreasson, André Treptow, Tom Ducke...
ICMLA
2009
13 years 5 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
ICIAR
2009
Springer
13 years 5 months ago
Invariant Shape Matching for Detection of Semi-local Image Structures
Abstract. Shape features applied to object recognition has been actively studied since the beginning of the field in 1950s and remain a viable alternative to appearance based metho...
Lech Szumilas, Horst Wildenauer, Allan Hanbury
ECCV
2006
Springer
14 years 9 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...
CVPR
2003
IEEE
14 years 9 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman