Saliency-aware Real-time Volumetric Fusion for Object Reconstruction

dc.contributor.authorYang, Shengen_US
dc.contributor.authorChen, Kangen_US
dc.contributor.authorLiu, Minghuaen_US
dc.contributor.authorFu, Hongboen_US
dc.contributor.authorHu, Shi-Minen_US
dc.contributor.editorJernej Barbic and Wen-Chieh Lin and Olga Sorkine-Hornungen_US
dc.date.accessioned2017-10-16T05:24:19Z
dc.date.available2017-10-16T05:24:19Z
dc.date.issued2016
dc.description.abstractWe present a real-time approach for acquiring 3D objects with high fidelity using hand-held consumer-level RGB-D scanning devices. Existing real-time reconstruction methods typically do not take the point of interest into account, and thus might fail to produce clean reconstruction results of desired objects due to distracting objects or backgrounds. In addition, any changes in background during scanning, which can often occur in real scenarios, can easily break up the whole reconstruction process. To address these issues, we incorporate visual saliency into a traditional real-time volumetric fusion pipeline. Salient regions detected from RGB-D frames suggest user-intended objects, and by understanding user intentions our approach can put more emphasis on important targets, and meanwhile, eliminate disturbance of non-important objects. Experimental results on realworld scans demonstrate that our system is capable of effectively acquiring geometric information of salient objects in cluttered real-world scenes, even if the backgrounds are changing.en_US
dc.description.number7
dc.description.sectionheadersReconstruction and Generation based on RGBD Images
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13282
dc.identifier.issn1467-8659
dc.identifier.pages167-174
dc.identifier.urihttps://doi.org/10.1111/cgf.13282
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13282
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectReconstruction
dc.subjectObject detection
dc.titleSaliency-aware Real-time Volumetric Fusion for Object Reconstructionen_US
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