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» Evaluation of Interest Point Detectors
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ICIP
2007
IEEE
16 years 23 days ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
FTCGV
2007
104views more  FTCGV 2007»
14 years 11 months ago
Local Invariant Feature Detectors: A Survey
In this survey, we give an overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are. We be...
Tinne Tuytelaars, Krystian Mikolajczyk
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
15 years 5 months ago
Using symmetrical regions of interest to improve visual SLAM
— Simultaneous Localization and Mapping (SLAM) based on visual information is a challenging problem. One of the main problems with visual SLAM is to find good quality landmarks,...
Gert Kootstra, Lambert Schomaker
ICCV
2009
IEEE
14 years 8 months ago
An algebraic model for fast corner detection
This paper revisits the classical problem of detecting interest points, popularly known as "corners," in 2D images by proposing a technique based on fitting algebraic sh...
Andrew Willis, Yunfeng Sui
VISUAL
2000
Springer
15 years 2 months ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe