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» Improved SIFT-Features Matching for Object Recognition
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BCS
2008
15 years 11 days 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...
96
Voted
CORR
2010
Springer
238views Education» more  CORR 2010»
14 years 11 months ago
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Gross...
ECCV
2008
Springer
16 years 24 days ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
115
Voted
ECCV
2010
Springer
15 years 7 hour ago
Location Recognition Using Prioritized Feature Matching
We present a fast, simple location recognition and image localization method that leverages feature correspondence and geometry estimated from large Internet photo collections. Suc...
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher
95
Voted
FGR
2008
IEEE
243views Biometrics» more  FGR 2008»
15 years 5 months ago
Real-time face recognition for human-robot interaction
The ability to recognize people is a key element for improving human-robot interaction in service robots. There are many approaches for face recognition; however, these assume unr...
Claudia Cruz, Luis Enrique Sucar, Eduardo F. Moral...