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Hierarchical Block-Based Disparity Estimation Considering Neighbourhood Constraints (1997)

Abstract
A block--based disparity estimation approach is presented that increases the robustness of the estimator by considering neighbourhood constraints and by estimating hierarchically on a multi--resolutional image pyramid of a stereoscopic image pair. This approach is applied to 3--D reconstruction of moving scenes in the field of 3--D video communications and to landscape and architectural reconstruction. The shape of the reconstructed objects, which is computed from the estimated disparities, is significantly improved using the presented approach compared to conventional block--matching. 1. INTRODUCTION Existing stereo vision approaches can be classified into two classes, feature--based and area--based correspondence analysis [1]. Area--based correspondence analysis is used in the presented approach, as depth information for each picture element (pel) is required by the applied 3--D reconstruction. In particular, block--matching is applied, where correspondence analysis is carried out ...

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.45.8364
Source ftp://ftp.tnt.uni-hannover.de/pub/papers/1997/IWSNHC3D97-LF.ps.gz
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Type text
Language English
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