Segment-Based Foreground Extraction Dedicated to 3D Reconstruction

Researches of image-based 3D reconstruction have recently produced a number of good results, but they assume that the accurate foreground to be reconstructed is already extracted from each input image. This paper proposes a novel approach to extract more accurate foregrounds by iteratively performin...

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Bibliographic Details
Main Authors: Jungwhan Kim, Anjin Park, Keechul Jung
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Image reconstruction
Image segmentation
Minimization
Object segmentation
Pixel
Three dimensional displays
Online Access:Request full text
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Summary:Researches of image-based 3D reconstruction have recently produced a number of good results, but they assume that the accurate foreground to be reconstructed is already extracted from each input image. This paper proposes a novel approach to extract more accurate foregrounds by iteratively performing foreground extraction and 3D reconstruction in a manner similar to an EM algorithm on regions segmented in an initial stage, called segments. After definitively extracting the foregrounds in multi-views based on simply selecting segments corresponding to the real foreground in only one image, further improved foregrounds are extracted by back-projecting 3D objects reconstructed based on the foreground extracted in the previous step into segments of each image in multi-views. These two steps are iteratively performed until the energy function is optimized. In the experiments, more accurate boundaries were obtained, although the proposed method used a simple 3D reconstruction method.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.875