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ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
14 years 2 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...
20
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VMV
2001
119views Visualization» more  VMV 2001»
13 years 9 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet
ICIP
2002
IEEE
14 years 9 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
TCSV
2008
120views more  TCSV 2008»
13 years 7 months ago
A Parallel Hardware Architecture for Scale and Rotation Invariant Feature Detection
Abstract--This paper proposes a parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm and applied to the SLAM (...
Vanderlei Bonato, Eduardo Marques, George A. Const...