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» Highly Discriminative Invariant FEatures for Image Matching
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CVPR
2011
IEEE
14 years 10 months ago
Learning invariance through imitation
Supervised methods for learning an embedding aim to map high-dimensional images to a space in which perceptually similar observations have high measurable similarity. Most approac...
Graham Taylor, Ian Spiro, Rob Fergus, Christoph Br...
IVCNZ
1998
15 years 3 months ago
Feature point Detection in Blurred Images
: Feature point FP detection is an important pre-processing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP...
Jaroslav Kautsky, Barbara Zitová, Jan Fluss...
ICIP
2004
IEEE
16 years 3 months ago
Towards computer-assisted photo-identification of humpback whales
This paper describes current work on a photo-id system for humpback whales. Individuals of this species can be uniquely identified by the light and dark pigmentation patches on th...
Elena Ranguelova, Mark J. Huiskes, Eric J. Pauwels
BMVC
2001
15 years 4 months ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
Yongmin Li, Shaogang Gong, Heather M. Liddell
ICCV
2011
IEEE
14 years 2 months ago
Scale Space for Central Catadioptric Systems. Towards a generic camera feature extractor.
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
Luis Puig, Jose Guerrero