Original title: Sémantická segmentace HDR obrazů
Translated title: HDR image semantic segmentation
Authors: Fadeev, Rustam ; Šikudová, Elena (advisor) ; Mirbauer, Martin (referee)
Document type: Bachelor's theses
Year: 2022
Language: eng
Abstract: This work attempts to create a pipeline that accepts the high dynamic range (HDR) input in the .exr format, processes it, and feeds it to the deep neural network, which can perform a semantic segmentation task, detecting the sky. Currently, to our knowledge, available semantic segmentation models cannot accept HDR input in the .exr format. Several models that are trained on HDR input are presented and analyzed here. 1
Keywords: HDR|semantic segmentation|sky imagery; HDR|sémantická segmentace|obrazy oblohy

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/176107

Permalink: http://www.nusl.cz/ntk/nusl-509778


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Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Bachelor's theses