Image segmentation and convolutional neural networks as tools for indoor scene understanding

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dc.contributor.authorLangborn, Björn
dc.contributor.authorLiberda, Adam
dc.contributor.authorLilja, Adam
dc.contributor.authorLindström, Jakob
dc.contributor.departmentChalmers tekniska högskola / Institutionen för signaler och systemsv
dc.contributor.departmentChalmers University of Technology / Department of Signals and Systemsen
dc.date.accessioned2019-07-03T14:20:31Z
dc.date.available2019-07-03T14:20:31Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/20.500.12380/242058
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectElektroteknik och elektronik
dc.subjectElectrical Engineering, Electronic Engineering, Information Engineering
dc.titleImage segmentation and convolutional neural networks as tools for indoor scene understanding
dc.type.degreeExamensarbete för kandidatexamensv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
local.programmeEngineering Physics (300 hp)
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