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.
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| 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: | finished |
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