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Optical Engineering

Scene reconstruction with sparse range data and intensity information
Author(s): Guangyi Chen; Gregory Dudek; Luz Abril Torres-Mendez
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Paper Abstract

The acquisition of a three-dimensional (3-D) model in a real-world environment by scanning only sparsely can save us a great ammount range-sensing time. We address a new method for inferring missing range data based on the given intensity image and sparse range data. It is assumed that the known range data are given on a number of scan lines with 1 pixel width. This assumption is natural for a range sensor to acquire range data in a 3-D real-world environment. Both edge information of the intensity image and linear interpolation of the range data are used. Experiments show that this method gives very good results in inferring missing range data. It outperforms both the previous method and bilinear interpolation when a very small percentage of range data are known.

Paper Details

Date Published: 1 September 2011
PDF: 8 pages
Opt. Eng. 50(9) 097002 doi: 10.1117/1.3617455
Published in: Optical Engineering Volume 50, Issue 9
Show Author Affiliations
Guangyi Chen, Concordia Univ. (Canada)
Gregory Dudek, McGill Univ. (Canada)
Luz Abril Torres-Mendez, Cinvestav-Unidad Saltillo (Mexico)

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