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ICCV
2007
IEEE
14 years 7 months ago
Chaotic Invariants for Human Action Recognition
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
Saad Ali, Arslan Basharat, Mubarak Shah
ECCV
2002
Springer
14 years 7 months ago
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
Abstract. Quadrature filters are a well known method of low-level computer vision for estimating certain properties of the signal, as there are local amplitude and local phase. How...
Michael Felsberg, Gerald Sommer
CVPR
2009
IEEE
15 years 27 days ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
IV
2007
IEEE
222views Visualization» more  IV 2007»
14 years 1 days ago
Video Stabilization Using Scale-Invariant Features
Video Stabilization is one of those important video processing techniques to remove the unwanted camera vibration in a video sequence. In this paper, we present a practical method...
Rong Hu, Rongjie Shi, I-Fan Shen, Wenbin Chen
ICRA
2002
IEEE
177views Robotics» more  ICRA 2002»
13 years 10 months ago
Robust Vision-Based Localization for Mobile Robots using an Image Retrieval System Based on Invariant Features
In this paper we present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process...
Jürgen Wolf, Wolfram Burgard, Hans Burkhardt