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Silhouettes Fusion for 3D Shapes Modeling with Ghost Object Removal
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BibTeX
@MISC{Michoud_silhouettesfusion,
author = {Brice Michoud and Erwan Guillou and Héctor M. Briceño and Saïda Bouakaz and Liris Cnrs and Umr Université and Claude Bernard Lyon},
title = {Silhouettes Fusion for 3D Shapes Modeling with Ghost Object Removal},
year = {}
}
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Abstract
Abstract. In this paper, we investigate a practical framework to compute a 3D shape estimation of multiple objects in real-time from silhouette probability maps in multi-view environments. A popular method called Shape From Silhouette (SF S), computes a 3D shape estimation from binary silhouette masks. This method has several limitations: The acquisition space is limited to the intersection of the camera viewing frusta; SF S methods reconstruct some ghost objects which do not contain real objects, especially when there are multiple real objects in the scene; Lastly, the results depend heavily on quality of silhouette extraction. In this paper we propose two major contributions to overcome these limitations. First, using a simple statistical approach, our system reconstructs objects with no constraints on camera placement and their visibility. This approach computes a fusion between all captured images. It compensates for bad silhouette extraction and achieves robust volume reconstruction. Second, a new theoretical approach identifies and removes ghost objects. The reconstructed shapes are more accurate than current silhouette-based approaches. Reconstructed parts are guaranteed to contain real objects. Finally, we present a real-time system that captures multiple and complex objects moving through many camera frusta to demonstrate the application and robustness of our method. 1
Keyphrases
ghost object removal silhouette fusion ghost object real object shape estimation multiple real object binary silhouette mask multi-view environment current silhouette-based approach camera placement bad silhouette extraction several limitation silhouette probability map new theoretical approach identifies major contribution multiple object silhouette extraction many camera frustum acquisition space complex object sf method popular method real-time system practical framework robust volume reconstruction reconstructed shape simple statistical approach shape silhouette
