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» Algorithmic Fusion for More Robust Feature Tracking
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 8 months ago
Visual odometry priors for robust EKF-SLAM
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
Pablo Fernández Alcantarilla, Luis Miguel B...
96
Voted
ICIAR
2010
Springer
15 years 2 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
ICIP
2009
IEEE
15 years 10 months ago
Polar Snakes: A Fast And Robust Parametric Active Contour Model
We present in this paper a way to perform a fast and robust image segmentation and to track a contour along a sequence of images. Our approach is based on a dynamic deformable mod...
63
Voted
ICIP
2005
IEEE
15 years 11 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu
SIGIR
2000
ACM
15 years 2 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...