Exploiting Spatio-Temporal Information for Light-Plane Labeling in Depth-Image Sensors Using Probabilistic Graphical Models
Autor: | Jerneja Žganec-Gros, Mario Žganec, Simon Dobrišek, Vitomir Struc, Jaka Kravanja |
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Rok vydání: | 2016 |
Předmět: |
Structure (mathematical logic)
business.industry Plane (geometry) Applied Mathematics 020206 networking & telecommunications 02 engineering and technology Classification of discontinuities Spatial relation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Graphical model Artificial intelligence Image sensor business Correspondence problem Information Systems Mathematics Structured light |
Zdroj: | Informatica. 27:67-84 |
ISSN: | 1822-8844 0868-4952 |
DOI: | 10.15388/informatica.2016.77 |
Popis: | This paper proposes a novel approach to light plane labeling in depth-image sensors re- lying on "uncoded" structured light. The proposed approach adopts probabilistic graphical models (PGMs) to solve the correspondence problem between the projected and the detected light patterns. The procedure for solving the correspondence problem is designed to take the spatial relations be- tween the parts of the projected pattern and prior knowledge about the structure of the pattern into account, but it also exploits temporal information to achieve reliable light-plane labeling. The pro- cedure is assessed on a database of light patterns detected with a specially developed imaging sensor that, unlike most existing solutions on the market, was shown to work reliably in outdoor environ- ments as well as in the presence of other identical (active) sensors directed at the same scene. The results of our experiments show that the proposed approach is able to reliably solve the correspon- dence problem and assign light-plane labels to the detected pattern with a high accuracy, even when large spatial discontinuities are present in the observed scene. |
Databáze: | OpenAIRE |
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