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» Feature versus model based noise robustness
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SIBGRAPI
2003
IEEE
13 years 9 months ago
Learning-Based versus Model-Based Log-Polar Feature Extraction Operators: A Comparative Study
In this paper, we compare two distinct primal sketch feature extraction operators: one based on neural network feature learning and the other based on mathematical models of the f...
Herman Martins Gomes, Robert B. Fisher
ICCVW
1999
Springer
13 years 8 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
ICASSP
2009
IEEE
13 years 11 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
ET
2007
89views more  ET 2007»
13 years 4 months ago
QCA Circuits for Robust Coplanar Crossing
In this paper, different circuits of Quantum-dot Cellular Automata (QCA) are proposed for the so-called coplanar crossing. Coplanar crossing is one of the most interesting feature...
Sanjukta Bhanja, Marco Ottavi, Fabrizio Lombardi, ...
SMA
2009
ACM
141views Solid Modeling» more  SMA 2009»
13 years 9 months ago
Robust principal curvatures using feature adapted integral invariants
Principal curvatures and principal directions are fundamental local geometric properties. They are well deļ¬ned on smooth surfaces. However, due to the nature as higher order diļ...
Yu-Kun Lai, Shi-Min Hu, Tong Fang