Abstract
In traditional three-dimensional(3D) reconstruction methods based on images,the correlated feature matching between images is one of the factors affecting the fidelity and accuracy of modeling.A 3D reconstruction method of object in real scene based on volumetric presentation was proposed,which avoided the feature matching and simplified the complexity of modeling.Firstly,the silhouettes of object in every image were extracted.Secondly,the minimal bounding box of object in scene volume was traversed in a single-pass order,after that the volume element was projected back to input images and checked if it was consistent according to color invariants.Finally,the realistic volumetric model was rendered using calculated 3D information.Experimental results demonstrate that the reconstructed model with the method in this paper is more realistic.
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