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Title:

Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation

Document type:
Zeitschriftenaufsatz
Author(s):
Kehl, W.; Milletari, F.; Tombari, F.; Ilic, S.; Navab, N.
Abstract:
We present a 3D object detection method that uses regressed descriptors of locally-sampled RGB-D patches for 6D vote casting. For regression, we employ a convolutional auto-encoder that has been trained on a large collection of random local patches. During testing, scene patch descriptors are matched against a database of synthetic model view patches and cast 6D object votes which are subsequently filtered to refined hypotheses. We evaluate on three datasets to show that our method generalizes w...     »
Keywords:
CAMP,CAMPComputerVision,ComputerVision,ECCV,CNN,Rigid3DObjectDetection,Deep Learning,deeplearning
Year:
2016
Notes:
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