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Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification


Banić, Nikola; Lončarić, Sven
Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification // 40th German Conference on Pattern Recognition
Stuttgart, Njemačka, 2018. str. 473-486 doi:10.1007/978-3-030-12939-2_33 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification

Autori
Banić, Nikola ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
40th German Conference on Pattern Recognition / - , 2018, 473-486

Skup
German Conference on Pattern Recognition

Mjesto i datum
Stuttgart, Njemačka, 09-12.10.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Illumination estimation ; indoor-outdoor ; image classification

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-2092 - Metode i algoritmi za poboljšanje slika u boji u stvarnom vremenu (Sven Lončarić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

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