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V-SENSE awarded the Lumiere Award for the Best Paper!

We are delighted to announce that V-SENSE was awarded the Lumiere Award for the Best Paper at the International Conference on 3D Immersion/Stereopsia in Brussels last week!

Our colleague, Sebastian Knorr accepting the V-SENSE Lumiere Award for the Best Paper award!

On behalf of the Advanced Imaging Society based in Hollywood, CA, Stereopsia organizes – for the 7th consecutive year – the competitions for the “Lumiere Awards” for the territory consisting of Europe, the Middle East, and Africa (EMEA).

Title: DeepStereoBrush: Interactive Depth Map Creation
Authors: Sebastian Knorr, Matis Hudon, Julian Cabrera, Thomas Sikora, Aljosa Smolic

Abstract:

In this paper, we introduce a novel interactive depth map creation approach for image sequences which uses depth-scribbles as input at user-defined keyframes. These scribbled depth values are then propagated within these keyframes and across the entire sequence using a 3-dimensional geodesic distance transform (3D-GDT). In order to further improve the depth estimation of the intermediate frames, we make use of a convolutional neural network (CNN) in an unconventional manner. Our process is based on online learning which allows us to specifically train a disposable network for each sequence individually using the user generated depth at keyframes along with corresponding RGB images as training pairs. Thus, we actually take advantage of one of the most common issues in deep learning: over-fitting. Furthermore, we integrated this approach into a professional interactive depth map creation application and compared our results against the state of the art in interactive depth map creation.


DeepStereoBrush

 

 

Posted by Catherine O'Connor, School of Computer Science and Statistics, Trinity College Dublin 2

catherine.oconnor at tcd.ie