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Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

[14:01 tue,2.July 2019   by ]    

The project "Local Light FieldField im Glossar erklärt Fusion: Practical View Synthesis with Prescriptive SamplingSampling im Glossar erklärt Guidelines" calculates new 3D views of an object from just a few photos and displays them in real time on a smartphone, for example. This method is also based on deep learning, it uses neural networks to create new views of an object in 3D using some photos from a calculated local light field.



Local-Light-Field-Fusion



The algorithm is able to determine the number of required photos from slightly different perspectives and to assist the user interactively with the shooting of the required photos via augmented reality smartphone app. The positions from which photos still have to be taken are displayed in order to enable a 3D partial view.

Local-Light-Field-Fusion-App



Deep learning first extrapolates several depth levels from each photo, from the totality of which local light fields can be calculated, which then enable the user to view an object from slightly different perspectives in real time, mobile or on the desktop, thus making it appear three-dimensional. On the project's website, the corresponding program code is also available to generate these 3D views from a demo-image set and view them interactively.




deutsche Version dieser Seite: Virtuelle 3D Ansichten aus wenigen Photos berechnen // Siggraph 2019

  

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deutsche Version dieser Seite: Virtuelle 3D Ansichten aus wenigen Photos berechnen // Siggraph 2019



last update : 18.September 2019 - 18:02 - slashCAM is a project by channelunit GmbH- mail : slashcam@--antispam:7465--slashcam.de - deutsche Version