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3D SSD tracking with estimated 3D planes

Dana Cobzas 1 Peter Sturm 1 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We present a tracking method where full camera position and orientation is tracked from intensity differences in a video sequence. The camera pose is calculated based on plane equations, and hence does not depend on point correspondences. The plane based formulation also allows additional constraints to be naturally added, e.g. perpendicularity between walls, floor and ceiling surfaces, co-planarity of wall surfaces etc. A particular feature of our method is that the full 3D pose change is directly computed from temporal image differences without making a commitment to a particular intermediate (e.g. 2D feature) representation. We experimentally compared our method with regular ID SSD tracking and found it more robust and stable. This is due to 3D consistency being enforced even in the low level registration of image regions. This yields better results than first computing (and hence committing to) 2D image features and then from these compute 3D pose.
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Dana Cobzas, Peter Sturm. 3D SSD tracking with estimated 3D planes. 2nd Canadian Conference on Computer and Robot Vision, May 2005, Victoria, Canada. pp.129--134, ⟨10.1109/CRV.2005.4⟩. ⟨inria-00524391⟩



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