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BCS
2008
15 years 2 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
15 years 2 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
15 years 8 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
16 years 2 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
15 years 6 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...