Authors:
Hadi Aliakbarpour
and
Jorge Dias
Affiliation:
University of Coimbra, Portugal
Keyword(s):
Computer vision, Sensor fusion, IMU, 3D Reconstruction, Homography, Sensor network, Virtual camera, Virtual plane, Quadtree.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Camera Networks and Vision
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Registration
Abstract:
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, special
ly when the intention is to keep the sequence of 3D models in a dynamic scene.
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