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» Using symmetrical regions of interest to improve visual SLAM
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IROS
2009
IEEE
129views Robotics» more  IROS 2009»
12 years 6 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
ACMSE
2006
ACM
12 years 5 months ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
IROS
2006
IEEE
163views Robotics» more  IROS 2006»
12 years 5 months ago
Attentional Landmark Selection for Visual SLAM
— In this paper, we introduce a new method to automatically detect useful landmarks for visual SLAM. A biologically motivated attention system detects regions of interest which ...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
ICPR
2010
IEEE
11 years 12 months ago
Fast Odometry Integration in Local Bundle Adjustment-Based Visual SLAM
The Simultaneous Localisation And Mapping (SLAM) for a camera moving in a scene is a long term research problem. Here we improve a recent visual SLAM which applies Local Bundle Ad...
Alexandre Eudes, Maxime Lhuillier, Sylvie Naudet-C...
ETFA
2008
IEEE
12 years 6 months ago
3D-based monocular SLAM for mobile agents navigating in indoor environments
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - Particle Filter Depth Estimation) in a monocular vSLAM (Visual Simultaneous Localiza...
Dejan Pangercic, Radu Bogdan Rusu, Michael Beetz
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