3D SSD tracking with estimated 3D planes

Dana Cobzas 1 Martin Jägersand 1 Peter Sturm 2
2 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
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 3D planes, 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 2D 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.
Type de document :
Article dans une revue
Image and Vision Computing, Elsevier, 2009, Canadian Robotic Vision 2005 and 2006, 27 (1), pp.69-79. 〈10.1016/j.imavis.2006.10.008〉
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https://hal.inria.fr/inria-00384230
Contributeur : Peter Sturm <>
Soumis le : jeudi 14 mai 2009 - 16:26:43
Dernière modification le : mercredi 11 avril 2018 - 01:59:18

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Dana Cobzas, Martin Jägersand, Peter Sturm. 3D SSD tracking with estimated 3D planes. Image and Vision Computing, Elsevier, 2009, Canadian Robotic Vision 2005 and 2006, 27 (1), pp.69-79. 〈10.1016/j.imavis.2006.10.008〉. 〈inria-00384230〉

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