Hadi Aliakbarpour, Jorge Dias


In this paper a novel 3D volumetric reconstruction method, based on the fusion of inertial and visual information and applying a quadtree-based compression algorithm, has been proposed. A network of cameras is used to observe the scene. Then beside of each camera, a fusion-based virtual camera is defined. The transformations among the cameras have been estimated. Then a set of horizontal virtual planes have been passed through the volumetric scenes. The intersections of these virtual planes and the object within the scene, or in other words the virtual registration layers, have been obtained by using the concept of homography. Then quadtree-based decomposition has been applied to the registration layers and consequently the obtained layers (2D) are stacked to produce the 3D reconstruction of the object. The proposed method has the ability of adjusting the compactness or the resolution of the result which can be defined with respect to the application or the storage resources, specially when the intention is to keep the sequence of 3D models in a dynamic scene.


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Paper Citation

in Harvard Style

Aliakbarpour H. and Dias J. (2011). MULTI-RESOLUTION VIRTUAL PLANE BASED 3D RECONSTRUCTION USING INERTIAL-VISUAL DATA FUSION . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 112-118. DOI: 10.5220/0003317901120118

in Bibtex Style

author={Hadi Aliakbarpour and Jorge Dias},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
SN - 978-989-8425-47-8
AU - Aliakbarpour H.
AU - Dias J.
PY - 2011
SP - 112
EP - 118
DO - 10.5220/0003317901120118