MaIntrImgDecomp

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Deep Intrinsic Image Decomposition

In this project we aim at decomposing a simple photograph into layers of material properties like reflectance, albedo, materials etc. This a very challenging but important topic in bot Computer Vision and Computer Graphics as it improves tasks like scene understanding, augmented reality and object recognition. We want to tackle this problem using the human annotated OpenSurfaces dataset and our recent advances in deep learning especially fully connected residual networks.



Supervision: Christian Rupprecht, Iro Laina, Federico Tombari


For further information please contact: Christian Rupprecht

ProjectForm
Title: Deep Intrinsic Image Decomposition
Abstract: In this project we aim at decomposing a simple photograph into layers of material properties like reflectance, albedo, materials etc. This a very challenging but important topic in bot Computer Vision and Computer Graphics as it improves tasks like scene understanding, augmented reality and object recognition. We want to tackle this problem using the human annotated OpenSurfaces? dataset and our recent advances in deep learning especially fully connected residual networks.
Student: Udo Dehm
Director: Prof. Nassir Navab
Supervisor: Christian Rupprecht, Iro Laina, Federico Tombari
Type: Master Thesis
Area: Machine Learning, Computer Vision
Status: running
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Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 01 Dec 2016 - 15:16 - ChristianRupprecht