Advanced Concepts for Intelligent Vision Systems: 16th by Sebastiano Battiato

By Sebastiano Battiato

This booklet constitutes the completely refereed complaints of the sixteenth overseas convention on complex innovations for clever imaginative and prescient structures, ACIVS 2015, held Catania, Italy, in October 2015. The seventy six revised complete papers have been rigorously chosen from 129 submissions.

Acivs 2015 is a convention targeting recommendations for development adaptive, clever, secure and safe imaging structures. the point of interest of the convention is on following subject: low-level picture processing, video processing and digital camera networks, movement and monitoring, safeguard, forensics and biometrics, intensity and 3D, picture caliber development and evaluation, category and popularity, multidimensional sign processing, multimedia compression, retrieval, and navigation.

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Additional info for Advanced Concepts for Intelligent Vision Systems: 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings

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References 1. : No-reference sharpness metric based on local edge kurtosis. In: Proceedings of the 2002 International Conference on Image Processing, vol. 3, pp. III-53–III-56 (2002) 2. : A non-parametric blur measure based on edge analysis for image processing applications. In: 2004 IEEE Conference on Cybernetics and Intelligent Systems, vol. 1, pp. 356–360, December 2004 3. : Learning to estimate and remove nonuniform image blur. In: Conference on Computer Vision and Pattern Recognition, Portland, USA, pp.

ACIVS 2015, LNCS 9386, pp. 15–22, 2015. 1007/978-3-319-25903-1 2 16 A. Nasonov et al. General purpose blur estimation methods can also be used for sparse defocus map construction problem. The method [6] is based on the assumption that the blur of the image is close to Gaussian. The image is divided into blocks, and the blur kernel is supposed to be uniform inside the block. The estimation of the blurriness of the block is based on the maximum of difference ratio between an original image and its two re-blurred versions.

Koskela, M. ) SCIA 2013. LNCS, vol. 7944, pp. 11–21. Springer, Heidelberg (2013) 16. : Surface dependent representations for illumination insensitive image comparison. PAMI 29, 98–111 (2007) 17. : Image descriptors based on curvature histograms. , Koch, R. ) GCPR 2014. LNCS, vol. 8753, pp. 239–249. Springer, Heidelberg (2014) 18. : A new perceptual edge detector in color images. In: Advanced Concepts for Intelligent Vision Systems (2010) 19. : Texture removal by pixel classification using a rotating filter.

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