3d Object Reconstruction from Multiple Views: A Compressive Sensing Framework

Reddy, D S S (2012) 3d Object Reconstruction from Multiple Views: A Compressive Sensing Framework. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Automatized life like representation of natural objects has been a cherished goal for humanity. Towards achieving this goal we propose a novel framework for the reconstruction of the 3D object. We laid the foundation for the representation of the signal by a developing a theory which deals with different sampling techniques(both Uniform and Non-uniform) for signals in the euclidean space, finite element method(Interpolative basis) for signals in the topological domain and finally the compressive sampling using which we can capture and represent the compressible signals by exploiting the sparsity.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: TD65
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 11 Nov 2014 05:30
Last Modified: 16 Nov 2015 06:57
URI: http://raiith.iith.ac.in/id/eprint/696
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