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» Unsupervised Learning of Invariant Features Using Video
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CRV
2006
IEEE
148views Robotics» more  CRV 2006»
14 years 1 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
ICPR
2008
IEEE
14 years 2 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICIAP
2007
ACM
14 years 7 months ago
SIFT Features Tracking for Video Stabilization
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
IJCNN
2000
IEEE
13 years 11 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
CVPR
2007
IEEE
14 years 9 months ago
Improved Video Registration using Non-Distinctive Local Image Features
The task of registering video frames with a static model is a common problem in many computer vision domains. The standard approach to registration involves finding point correspo...
Robin Hess, Alan Fern