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Document type:
Konferenzbeitrag 
Author(s):
Christ, P. F.; Schlecht, S.; Ettlinger, F.; Grün, F.; Heinle, C.; Tatavatry, S.; Ahmadi, S.; Diepold, K.; Menze, B. H. 
Title:
Diabetes60 — Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks 
Pages contribution:
1526-1535 
Keywords:
computer vision; feedforward neural nets; image colour analysis; image sensors; learning (artificial intelligence); regression analysis; RGB-D; diabetes patients; CNN; computer vision task; western dishes; fully-convolutional neural networks; inferring bread units; Diabetes60; RGB image data; reasonable nutritional information; BU regression task; RGB images; inferred depth maps; RGB-D input data; BU values; expert assessments; Microsoft Kinect v2 sensor; BU meals; food images; Diabetes; Three-d...    »
 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Editor:
Institute of Electrical and Electronics Engineers (IEEE) 
Book / Congress title:
2017 IEEE International Conference on Computer Vision Workshops (ICCVW) 
Congress (additional information):
Venice, Italy 
Organization:
Institute of Electrical and Electronics Engineers (IEEE) 
Date of congress:
22-29 Oct. 2017 
Year:
2017 
Year / month:
2017-10 
Month:
Oct 
Pages:
1526-1535 
Print-ISBN:
978-1-5386-1035-0 
E-ISBN:
978-1-5386-1034-3 
Reviewed:
ja 
Language:
en 
TUM Institution:
Lehrstuhl für Datenverarbeitung