By Jacques Blanc-Talon, Cosimo Distante, Wilfried Philips, Dan Popescu, Paul Scheunders
This e-book constitutes the refereed complaints of the seventeenth foreign convention on complex innovations for clever imaginative and prescient platforms, ACIVS 2016, held in Lecce, Italy, in October 2016.
The sixty four revised complete papers awarded during this quantity have been rigorously chosen from 137 submissions. They take care of classical low-level photograph processing recommendations; picture and video compression; 3D; protection and forensics; and evaluate methodologies.
Read Online or Download Advanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Lecce, Italy, October 24-27, 2016, Proceedings PDF
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Additional resources for Advanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Lecce, Italy, October 24-27, 2016, Proceedings
A method for enforcing integrability in shapefrom shading algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 10(4), 439–451 (1988) 7. : Image compression with anisotropic diﬀusion. J. Math. Imaging Vis. 31(2–3), 255–269 (2008) 8. : An optimal control approach to ﬁnd sparse data for laplace interpolation. -C. ) EMMCVPR 2013. LNCS, vol. 8081, pp. 151–164. Springer, Heidelberg (2013). 1007/978-3-642-40395-8 12 9. : Adaptive weighing of context models for lossless data compression. Technical report, CS-2005-16, Florida Institute of Technology, Melbourne, FL, December 2005 10.
Color ﬁgure online) minor axes (A1, A2, A4, A5 - red color) vertically in Fig. 2b. In HS histogram (Fig. 2c) and its zoom-in version (Fig. 2d), these axes are represented by 5 local maxima aligned along the line of orientation θ = 90◦ . Additionally, a horizontal axis (B - green color) appears near the boundaries of θ axis, it describes another symmetry detection (the top half of steel and its mirror in the bottom side). The main axis is the vertical one (A3 - red color) located in the center.
Optimising spatial and tonal data for homogeneous diﬀusion inpainting. M. ) SSVM 2011. LNCS, vol. 6667, pp. 26–37. Springer, Heidelberg (2012). doi:10. 1007/978-3-642-24785-9 3 12. : Level lines based disocclusion. In: Proceedings of the 1998 IEEE International Conference on Image Processing, Chicago, IL, vol. 3, pp. 259–263, October 1998 13. : Green’s Functions: Construction and Applications. De Gruyter, Berlin (2012) 14. : iPiano: inertial proximal algorithm for nonconvex optimization. SIAM J.