Monocular-Cues Based 3-D Reconstruction: A Comparative Review

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Author(s): Sudheer Tumu (State University of New York-Albany, USA), Viswanath Avasarala (GE Global Research, USA), Sai Tejaswi Jonnalagadda (Hetero Med Solutions, India)and Prasad Wadekar (Mahindra Satyam, USA)
Copyright: 2012
Pages: 16
Source title: 3-D Surface Geometry and Reconstruction: Developing Concepts and Applications
Source Author(s)/Editor(s): Umesh Chandra Pati (National Institute of Technology, Rourkela, India)
DOI: 10.4018/978-1-4666-0113-0.ch008

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

3-D reconstruction from images has traditionally focused on using multiple images. However, in recent years, some interesting breakthroughs have been made in constructing depth maps of images using monocular cues. This chapter summarizes the recent work in this evolving research domain. The chapter also presents results from an initial exploratory study based on fusing the 3-D reconstructions generated by two seminal monocular-cue based reconstruction algorithms. With new testing data, the fusion approach improved the 3-D estimation accuracy significantly as compared to the original approaches. The authors use the improved estimation accuracy produced by the fusion algorithm as a motivating evidence for future work: the use of non-parametric Bayesian regression for 3-D reconstruction.

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Monocular-Cues Based 3-D Reconstruction: A Comparative Review

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