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References [1] D. Baltieri, R. Vezzani, and R. Cucchiara. Mapping appearance descriptors on 3d body models forpeople re-identification. International JournalofComputerVision, 111(3):345–364,2014. [2] F.Bastien,P.Lamblin,R.Pascanu, J.Bergstra, I. J.Goodfellow,A.Bergeron,N.Bouchard,and Y.Bengio. Theano: newfeaturesandspeedimprovements. InDeepLearningandUnsupervised FeatureLearningNIPS 2012Workshop, 2012. [3] J.Bergstra,O.Breuleux,F.Bastien,P.Lamblin,R.Pascanu,G.Desjardins, J.Turian,D.Warde- Farley, and Y. Bengio. Theano: a CPU and GPU math expression compiler. In Proceedings of thePython for Scientific ComputingConference (SciPy), June2010. [4] T. E. Boult, R. J. Micheals, X. Gao, and M. Eckmann. Into the woods: Visual surveillance of non-cooperative and camouflaged targets in complex outdoor settings. In Proceedings of the IEEE, pages 1382–1402, 2001. [5] N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In In CVPR, pages886–893, 2005. [6] J. eun Lee, A. K. Jain, and R. Jin. Scars, marks and tattoos (smt): Soft biometric for suspect andvictim identification. In InProc.BiometricSymposium,BiometricConsortiumConference, pages1–8, 2008. [7] C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1915–1929, Aug2013. [8] J. Garcia, N. Martinel, A. Gardel, I. Bravo, G. L. Foresti, and C. Micheloni. Modeling fea- ture distances by orientation driven classifiers for person re-identification. Journal of Visual Communicationand ImageRepresentation, 38:115 –129,2016. [9] R. Gross, L. Sweeney, J. F. Cohn, F. De la Torre, and S. Baker. Protecting Privacy in Video Surveillance, chapter Face De-identification, pages 129–146. Springer Publishing Company, Incorporated, 2009. [10] H. Han and A. K. Jain. Tattoo based identification: Sketch to image matching. In Biometrics (ICB),2013 International Conferenceon, pages1–8, June2013. [11] B. Heflin, W. Scheirer, and T. E. Boult. Detecting and classifying scars, marks, and tattoos found in the wild. In Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth InternationalConferenceon, pages31–38,Sept2012. [12] A. K. Jain, J.-E. Lee, and R. Jin. Advances in Multimedia Information Processing – PCM 2007: 8th Pacific Rim Conference on Multimedia, Hong Kong, China, December 11-14, 2007. Proceedings, chapterTattoo-ID:AutomaticTattooImageRetrieval forSuspectandVictimIden- tification,pages 256–265. Springer Berlin Heidelberg,Berlin,Heidelberg,2007. [13] J. Kim, A. Parra, J. Yue, H. Li, and E. J. Delp. Robust local and global shape context for tattoo image matching. In Image Processing (ICIP), 2015 IEEE International Conference on, pages 2194–2198,Sept 2015. 41
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Proceedings OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Title
Proceedings
Subtitle
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Authors
Peter M. Roth
Kurt Niel
Publisher
Verlag der Technischen Universität Graz
Location
Wels
Date
2017
Language
English
License
CC BY 4.0
ISBN
978-3-85125-527-0
Size
21.0 x 29.7 cm
Pages
248
Keywords
Tagungsband
Categories
International
Tagungsbände

Table of contents

  1. Learning / Recognition 24
  2. Signal & Image Processing / Filters 43
  3. Geometry / Sensor Fusion 45
  4. Tracking / Detection 85
  5. Vision for Robotics I 95
  6. Vision for Robotics II 127
  7. Poster OAGM & ARW 167
  8. Task Planning 191
  9. Robotic Arm 207
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