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» Robustly Estimating Changes in Image Appearance
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DAGM
2006
Springer
13 years 10 months ago
Cross-Articulation Learning for Robust Detection of Pedestrians
Recognizing categories of articulated objects in real-world scenarios is a challenging problem for today's vision algorithms. Due to the large appearance changes and intra-cla...
Edgar Seemann, Bernt Schiele
ECCV
2004
Springer
14 years 8 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICIP
2001
IEEE
14 years 8 months ago
A robust motion detection and estimation filter for video signals
The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing s...
Markus Latzel, John K. Tsotsos
ISMAR
2009
IEEE
14 years 1 months ago
Robust pose estimation in untextured environments for augmented reality applications
We present a robust camera pose estimation approach for stereo images captured in untextured environments. Unlike most of existing registration algorithms which are point-based an...
Wei Guan, Lu Wang, Jonathan Mooser, Suya You, Ulri...
ECCV
2000
Springer
14 years 8 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...