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» Finding the Best Feature Detector-Descriptor Combination
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ICCCN
2007
IEEE
13 years 5 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
ACL
2009
13 years 2 months ago
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features
We propose a hybrid approach to coordinate structure analysis that combines a simple grammar to ensure consistent global structure of coordinations in a sentence, and features bas...
Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji M...
CONEXT
2010
ACM
13 years 2 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
DGCI
2006
Springer
13 years 8 months ago
Improving Difference Operators by Local Feature Detection
Differential operators are required to compute several characteristics for continuous surfaces, as e.g. tangents, curvature, flatness, shape descriptors. We propose to replace diff...
Kristof Teelen, Peter Veelaert
ICCV
2005
IEEE
14 years 6 months ago
Evaluation of Features Detectors and Descriptors Based on 3D Objects
We explore the performance of a number of popular feature detectors and descriptors in matching 3D object features across viewpoints and lighting conditions. To this end we design...
Pierre Moreels, Pietro Perona