commit e978c9a7086c2506d574b80afde1b39857408b86
Author: Jim Martens <admin@2martens.de>
Date:   Tue Nov 27 15:07:53 2018 +0100

    Update page 'Home'

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+General Idea of the Thesis:
+
+1. Realistic scene with objects of YCB Video data set (self recorded or from data set). 
+2. Retrieve point cloud from scene.
+3. Segment point cloud into separate areas for objects.
+4. a) Feed neural network with 3D data for object. Classify object and calculate classification loss (cross entropy loss).
+   b) Feed autoencoder with 3D data for object. Calculate encoding loss.
+5. In testing phase the encoding loss tells us if an object is unknown.
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