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» Robust Estimation of Camera Motion Using Optical Flow Models
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IROS
2009
IEEE
266views Robotics» more  IROS 2009»
14 years 2 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
ICCV
2011
IEEE
12 years 8 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
SCVMA
2004
Springer
14 years 1 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
14 years 2 months ago
Using Robust Estimation for Visual Servoing Based on Dynamic Vision
— The aim of this article is to achieve accurate visual servoing tasks when the shape of the object being observed as well as the final image are unknown. More precisely, we wan...
Christophe Collewet, François Chaumette
JMIV
2010
105views more  JMIV 2010»
13 years 6 months ago
Degeneracy of the Linear Seventeen-Point Algorithm for Generalized Essential Matrix
Abstract In estimating motions of multi-centered optical systems using the generalized camera model, one can use the linear seventeen-point algorithm for obtaining a generalized es...
Jun-Sik Kim, Takeo Kanade