Using Ignorance in 3D Scene Understanding

Bogdan Harasymowicz-Boggio and Barbara Siemiątkowska

Mathematical Problems in Engineering, 2014, vol. 2014, 1-11

Abstract:

Awareness of its own limitations is a fundamental feature of the human sight, which has been almost completely omitted in computer vision systems. In this paper we present a method of explicitly using information about perceptual limitations of a 3D vision system, such as occluded areas, limited field of view, loss of precision along with distance increase, and imperfect segmentation for a better understanding of the observed scene. The proposed mechanism integrates metric and semantic inference using Dempster-Shafer theory, which makes it possible to handle observations that have different degrees and kinds of uncertainty. The system has been implemented and tested in a real indoor environment, showing the benefits of the proposed approach.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:902039

DOI: 10.1155/2014/902039

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