CUED Publications database

SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes

Handa, A and Patraucean, V and Badrinarayanan, V and Stent, S and Cipolla, R SynthCam3D: Semantic Understanding With Synthetic Indoor Scenes. In: UNSPECIFIED. (Unpublished)

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We are interested in automatic scene understanding from geometric cues. To this end, we aim to bring semantic segmentation in the loop of real-time reconstruction. Our semantic segmentation is built on a deep autoencoder stack trained exclusively on synthetic depth data generated from our novel 3D scene library, SynthCam3D. Importantly, our network is able to segment real world scenes without any noise modelling. We present encouraging preliminary results.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: cs.CV cs.CV
Divisions: Div F > Machine Intelligence
Div D > Construction Engineering
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:09
Last Modified: 17 Jan 2019 14:01