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» Improving Difference Operators by Local Feature Detection
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IRI
2006
IEEE
14 years 1 months ago
Targeting and localization for mars rover operations
— In this work we discuss how the quality of localization knowledge impacts the remote operation of rovers on the surface of Mars. We look at the techniques of localization estim...
Mark W. Powell, Thomas Crockett, Jason Fox, Joseph...
EOR
2008
106views more  EOR 2008»
13 years 8 months ago
Global and local real-coded genetic algorithms based on parent-centric crossover operators
Parent-centric real-parameter crossover operators create the offspring in the neighbourhood of one of the parents, the female parent. The other parent, the male one, defines the r...
Carlos García-Martínez, Manuel Lozan...
ICBA
2004
Springer
207views Biometrics» more  ICBA 2004»
14 years 1 months ago
Dynamic Local Feature Analysis for Face Recognition
This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for human face recognition. In our proposed method, the face shape and the facial texture informa...
Johnny Ng, Humphrey Cheung
IDEAL
2005
Springer
14 years 1 months ago
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image
Abstract. In human face recognition, different facial regions have different degrees of importance, and exploiting such information would hopefully improve the accuracy of the reco...
Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang
CVPR
2001
IEEE
14 years 10 months ago
Scene-Consistent Detection of Feature Points in Video Sequences
Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video se...
Ariel Tankus, Yehezkel Yeshurun