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CVPR
2005
IEEE
16 years 8 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
IROS
2009
IEEE
212views Robotics» more  IROS 2009»
16 years 1 months ago
3D feature based mapping towards mobile robots' enhanced performance in rescue missions
— This paper presents a feature based 3D mapping approach with regard to obtaining compact models of semistructured environments such as partially destroyed buildings where mobil...
Paloma de la Puente, Diego Rodríguez-Losada...
IROS
2009
IEEE
266views Robotics» more  IROS 2009»
16 years 1 months ago
Inertial-aided KLT feature tracking for a moving camera
— We propose a novel inertial-aided KLT feature tracking method robust to camera ego-motions. The conventional KLT uses images only and its working condition is inherently limite...
Myung Hwangbo, Jun-Sik Kim, Takeo Kanade
ACCV
2009
Springer
16 years 1 months ago
Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences
Abstract. Intensity based registration methods, such as the mutual information (MI), do not commonly consider the spatial geometric information and the initial correspondences are ...
Hongwei Zheng, Ioan Cleju, Dietmar Saupe
ICASSP
2008
IEEE
16 years 1 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...