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References [1] P. J. Burt. Fast filter transform for image processing. Computer graphics and image processing vol.16.1pp. 20–51 (1981). [2] P. J. Burt, E. H. Adelson. The Laplacian pyramid as a compact image code. IEEE Transactions onCommunications. vol.31.4pp. 532–540 (1983). [3] M.Cerman: StructurallyCorrect ImageSegmentationusingLocalBinaryPatternsand theCom- binatorial Pyramid. Technical Report 1331, Vienna University of Technology, Pattern Recogni- tionand Image Processing (PRIP)Group. (2015) [4] M. Cerman; R. Gonzalez-Diaz; W. G. Kropatsch: LBP and Irregular Graph Pyramids. In the Proceedings ofCAIP2015,Part II, pp.687-699 (2015). [5] J. Chen, S. Shan, C. He, G. Zhao, M. Pietika¨inen, X. Chen, W. Gao. WLD: A robust local image descriptor. IEEE TPAMI, vol. 32(9), pp.1705–1720 (2010) [6] S. Contassot-Vivier, G. L. Bosco, N. C. Dao. Multiresolution approach for image processing. Erasmus ICP-A-2007 (1996). [7] M. Gerstmayer, Y. Haxhimusa, W. G. Kropatsch. Hierarchical interactive image segmentation using irregular pyramids. Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg, pp.245–254 (2011). [8] M.Heikkila¨,M.Pietika¨inen: Atexture-basedmethod formodeling thebackgroundanddetecting movingobjects. IEEETPAMI, vol. 28(4), pp.657–662 (2006). [9] W. G. Kropatsch,Y. Haxhimusa, A. Ion Multiresolution image segmentations in graph pyramids. AppliedGraphTheory inComputerVisionandPatternRecognition,SpringerBerlinHeidelberg, pp.3–41 (2007). [10] LBP’2014 WorkshoponComputerVision WithLocalBinaryPatternVariants 2 [11] D. G. Lowe. Distinctive image features from scale-invariant keypoints. International journal of computervisionvol.60.2pp.91–110 (2004). [12] D. Martin; C. Fowlkes; C. Tal; J. Malik: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In the Proceedings of ICCV 2001, pp.416-423 (2001). [13] I.S. Oh, J. Lee, A. Majumder. Multi-scale image segmentation using MSER. In the Proceedings ofCAIP2013,Part II, pp. 201–208 (2013). [14] T. Ojala, M. Pietikainen, D. Harwood. Performance evaluation of texture measures with classi- fication based on Kullback discrimination of distributions. Proceedings of ICPR 1994, pp. vol.1 582-585 (1994). [15] G. Sharma, W. Wu, E. N. Dalal. The CIEDE2000 Color-Dierence Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations. Color Research and Rpplica- tion,vol.30.1 pp.21–30 (2005). 1ftp://ftp.prip.tuwien.ac.at/pub/publications/trs/tr133.pdf 2https://sites.google.com/site/lbp2014ws/ 190
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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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