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BCS
2008
13 years 10 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
ESANN
2006
13 years 10 months ago
Learning Visual Invariance
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand ...
Alessio Plebe
COMPGEOM
2009
ACM
14 years 3 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
ICPR
2004
IEEE
14 years 10 months ago
Rigorous Accuracy Bounds for Calibrated Stereo Reconstruction
We deal with the problem of obtaining rigorous bounds to the position of 3-D points computed by stereo triangulation when both the camera matrix and the image points are affected ...
Alessandro Busti, Andrea Fusiello, Arrigo Benedett...
MIDDLEWARE
2004
Springer
14 years 2 months ago
Developing and Managing Software Components in an Ontology-Based Application Server
Application servers provide many functionalities commonly needed in the development of a complex distributed application. So far, the functionalities have mostly been developed an...
Daniel Oberle, Andreas Eberhart, Steffen Staab, Ra...