New PDF release: Artificial Intelligence Applications and Innovations: 11th

By Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj

ISBN-10: 3319238671

ISBN-13: 9783319238678

ISBN-10: 331923868X

ISBN-13: 9783319238685

This e-book constitutes the refereed lawsuits of the eleventh IFIP WG 12.5 overseas convention on synthetic Intelligence purposes and techniques, AIAI 2015, held in Bayonne, France, in September 2015. The 35 revised complete papers awarded have been conscientiously reviewed and chosen from eighty one submissions. The papers function hugely novel learn describing leading edge algorithms, platforms, instruments and methods, in addition to featuring complicated prototypes within the sector of man-made intelligence.

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Additional info for Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14–17, 2015, Proceedings

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In: Electronic Imaging: Science & Technology, International Society for Optics and Photonics, pp. 29–40 (March 1996) 28. : Image indexing using color correlograms. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 762–768 (June 1997) 29. : Pattern Classification, 2nd edn. Wiley (2001) 30. com 31. : Color and texture descriptors. com 2 Cardiothoracic Unit, Surgical Cluster, Faculty of Medicine, UiTM, Malaysia Abstract. In order to utilize both computed tomography (CT) and echocardiography images of the heart for medical applications such as diagnosis and image guided intervention concurrently, non-rigid registration is an essential task.

3). In order to compare volume Vi with the existing poses P , the pair of binary silhouettes B1i , B2i is compared to Bp1j and Bp2j respectively, for all values of j, by calculating their pairwise similarity S as following: S ( Bci , Bpcj ) = # { Bci ∩ Bpcj } ( max # { Bci } , # { Bpcj } (4) ) where # indicates the number of pixels of the image in {}. Let J be the set of values of j for which S Bci , Bpcj is greater than a predefined threshold T, for both cameras ( ) (c=1,2): { } J = j : S ( Bci , Bpcj ) ≥ T , c = 1, 2 (5) If no value of j satisfies condition (5) ( J = ∅ ), a new pose is introduced: PN p +1 = Vi .

Neumann, B. ) ECCV 1998. LNCS, vol. 1406, pp. 218–231. Springer, Heidelberg (1998) 11. : Mixing catadioptric and perspective cameras. In: OMNIVIS Third Workshop on Omnidirectional Vision, pp. 37–44. IEEE Computer Society, Copenhagen (2002) 12. : Refinement of human silhouette segmentation in omni-directional indoor videos. Computer Vision and Image Understanding 128, 65–83 (2014) 44 K. Kottari and K. Delibasis 13. : Automatic detection of checkerboards on blurred and distorted images. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, pp.

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Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 International Conference, AIAI 2015, Bayonne, France, September 14–17, 2015, Proceedings by Richard Chbeir, Yannis Manolopoulos, Ilias Maglogiannis, Reda Alhajj


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