By Facundo Mémoli (auth.), Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, Walter Kropatsch (eds.)
ISBN-10: 3642236774
ISBN-13: 9783642236778
ISBN-10: 3642236782
ISBN-13: 9783642236785
The quantity set LNCS 6854/6855 constitutes the refereed complaints of the foreign convention on laptop research of pictures and styles, CAIP 2011, which came about in Seville, Spain, August 29-31, 2011.
The 138 papers offered including 2 invited talks have been conscientiously reviewed and chosen from 286 submissions. The papers are equipped in topical part on: movement research, photograph and form versions, segmentation and grouping, form restoration, kernel tools, scientific imaging, structural trend popularity, Biometrics, snapshot and video processing, calibration; and monitoring and stereo vision.
Read or Download Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II PDF
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Additional resources for Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II
Example text
Resistance against a WM insertion This work has been partially supported by the Austrian Science Fund, project no. L554-N15. Correspondig author. A. Berciano et al. ): CAIP 2011, Part II, LNCS 6855, pp. 34–41, 2011. c Springer-Verlag Berlin Heidelberg 2011 Semi-fragile Watermarking in Biometric Systems: Template Self-Embedding 35 attack can be achieved by sensor-key dependent embedding. Since the watermarking scheme has to be able to detect image manipulations, (semi-)fragile embedding techniques are the method of choice.
Math. Soc. Simon Stevin 6(3), 455–464 (1999) 32. : Robust global registration. In: SGP 2005: Proceedings of the Third Eurographics Symposium on Geometry Processing, p. 197. Eurographics Association, Aire-la-Ville (2005) 33. : Barcodes: The persistent topology of data. Bulletin-American Mathematical Society 45(1), 61 (2008) 34. : Distance sets for shape filters and shape recognition. IEEE Transactions on Image Processing 12(10), 1274–1286 (2003) 35. : Metric structures for Riemannian and non-Riemannian spaces.
5 Object Matching: More Details Some features of mm-spaces. 5 to establish lower bounds for the metrics we will impose on Gw . All the features we discuss below have are routinely used in the data analysis and object matching communities. Definition 1 (p-diameters). Given a mm-space (X, dX , μX ) and p ∈ [1, ∞] we define its p-diameter as diamp (X) := dX (x, x ) X p 1/p μX (dx)μX (dx ) X for 1 ≤ p < ∞. Definition 2. Given p ∈ [1, ∞] and an mm-space (X, dX , μX ) we define the p-eccentricity function of X as 1/p sX,p : X → R+ given by x→ dX (x, x )p μ(dx ) X for 1 ≤ p < ∞.
Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011, Seville, Spain, August 29-31, 2011, Proceedings, Part II by Facundo Mémoli (auth.), Pedro Real, Daniel Diaz-Pernil, Helena Molina-Abril, Ainhoa Berciano, Walter Kropatsch (eds.)
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