An Effective Approach for Depth Estimation from 2D Image

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 14)

Abstract

Development of 3D scenes from 2D pictures is the centrality venture for an effective prologue to 3D multimedia service. Depth estimation is the basic phenomena in the construction of 3D from multiple images. Depth determination from single view 2D images is most probably the challenging and more difficult process. This paper presents a new depth estimation approach based on human height as a reference. The proposed approach consists of two phases. In the primary stage, expansive picture set has been caught (indoor situations which incorporate human in remaining with clear foundation) and human item is removed from the caught picture. At that point, mathematical model has been built from the examination. In the second stage, depth value is assessed by utilizing mathematical model. These evaluated depth data is utilized for further process, for example, 3D view era.

Keywords

Depth Repositioning Zoom Height Model 

Notes

Acknowledgements

Support from the college Maharaja Institute of Technology Mysore is gratefully acknowledged. We also acknowledge Visvesvaraya Technological University, Belgaum, India

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringMaharaja Institute of TechnologyMandyaIndia

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