A common limitation of many techniques for 3D reconstruction from multiple perspective views is the poor quality of the results near the object boundaries. The interpolation process applied to 'unstructured' 3D data ('clouds' of non-connected 3D points) plays a crucial role in the global quality of the 3D reconstruction. In this paper we present a method for interpolating unstructured 3D data, which is able to perform a segmentation of such data into different data sets that correspond to different objects. The algorithm is also able to perform an accurate localization of the boundaries of the objects. The method is based on an iterative optimization algorithm. As a first step, a set of surfaces and boundary curves are generated for the various objects. Then, the edges of the original images are used for refining such boundaries as best as possible. Experimental results with real data are presented for proving the effectiveness of the proposed algorithm.
Combined surface interpolation and object segmentation for automatic 3D scene reconstruction / F. Pedersini, A. Sarti, S. Tubaro - In: Proceedings 1998 International Conference on Image Processing. ICIP98[s.l] : IEEE, 1998. - ISBN 0-8186-8821-1. - pp. 963-966 (( convegno International Conference on Image Processing (ICIP).
|Titolo:||Combined surface interpolation and object segmentation for automatic 3D scene reconstruction|
PEDERSINI, FEDERICO (Primo)
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||1998|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ICIP.1998.723714|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|