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

By Sebastiano Battiato

ISBN-10: 3319259024

ISBN-13: 9783319259024

ISBN-10: 3319259032

ISBN-13: 9783319259031

This publication constitutes the completely refereed court cases of the sixteenth foreign convention on complicated suggestions for clever imaginative and prescient platforms, ACIVS 2015, held Catania, Italy, in October 2015. The seventy six revised complete papers have been conscientiously chosen from 129 submissions.

Acivs 2015 is a convention concentrating on thoughts for construction adaptive, clever, secure and safe imaging platforms. the point of interest of the convention is on following subject: low-level photo processing, video processing and digicam networks, movement and monitoring, safeguard, forensics and biometrics, intensity and 3D, snapshot caliber development and evaluation, type and popularity, multidimensional sign processing, multimedia compression, retrieval, and navigation.

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Read or Download Advanced Concepts for Intelligent Vision Systems: 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings PDF

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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

Example text

1, An image represented by a two dimensional function can be considered as a surface in a 3D space. Such a surface in 3D, consists of features such as ridges, valleys, summits or basins. The geometric properties of these features can be accurately characterized by local curvatures of differential geometry through second order statistics. The motivation behind this work is to extract these 2nd order image statistics and represent them as a compact image descriptor for image matching. The main contribution of this work is: 1.

References to other methods can be found in these papers. c Springer International Publishing Switzerland 2015 S. Battiato et al. ): 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.

Tech. rep. (1996) 15. : Normalisation et validation d’images de documents captures en mobilit´e. In: CIFED 2014, Nancy, France, pp. 109–124, September 2014 16. : Edge-based blur kernel estimation using patch priors. In: 2013 IEEE International Conference on Computational Photography (ICCP), Cambridge, MA, pp. 1–8, April 2013 17. : Blind restoration of motion blurred barcode images using ridgelet transform and radial basis function neural network, pp. 63–80, April 2014 18. : Bilateral filtering for gray and color images.

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

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