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Erschienen in:
Topology-Based 3D Reconstruction of Mid-Level Primitives in Man-Made Environments Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification

verfasst von : Nikola Banić, Sven Lončarić

Erschienen in: Pattern Recognition

Verlag: Springer International Publishing

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Abstract

Indoor-outdoor image classification is a well-known problem for which multiple solutions have been proposed, many of which use both low-level and high-level features put into various models. Despite varying complexity, the accuracy of most of these models is reported to be around 90%. In this paper it is shown that the same accuracy can be obtained by simple manipulation of only low-level features extracted from the image in the early phase of image formation and based on the simplest forms of illumination estimation, namely methods such as Gray-World. Additionally, it is shown how using the built-in camera auto white balance is also enough to effectively achieve state-of-the-art indoor-outdoor classification accuracy. The results are presented and discussed.

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Metadaten
Titel
Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification
verfasst von
Nikola Banić
Sven Lončarić
Copyright-Jahr
2019
Buch
Pattern Recognition

Print ISBN: 978-3-030-12938-5

Electronic ISBN: 978-3-030-12939-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-12939-2_33

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