By Andrea F. Abate, Michele Nappi, Stefano Ricciardi (auth.), Randall Shumaker (eds.)

The two-volume set LNCS 6773-6774 constitutes the refereed complaints of the foreign convention on digital and combined truth 2011, held as a part of HCI foreign 2011, in Orlando, FL, united states, in July 2011, together with 10 different meetings addressing the most recent examine and improvement efforts and highlighting the human points of layout and use of computing platforms. The forty three revised papers incorporated within the first quantity have been conscientiously reviewed and chosen from a number of submissions. The papers are geared up within the following topical sections: augmented truth functions; digital and immersive environments; novel interplay units and methods in VR; human body structure and behaviour in VR environments.

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IEEE Transactions on Visualization and Computer Graphics 15(3), 355–368 (2009) 8. : Object recognition from local scale-invariant features. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision (1999) 9. html 10. : Computer-aided surgery based on auto-stereoscopic augmented reality. In: Proceedings of Eighth International Conference on Information Visualisation, IV 2004, pp. 189–193 (2004) lMAR: Highly Parallel Architecture for Markerless AR in AM 29 11. : Distributed design review using tangible augmented technical drawings.

Longstreet Press, Atlanta (1996) 8. : On tangible user interfaces, humans and spatiality. Personal Ubiquitous Computing 8(5), 338–346 (2004) Designing Augmented Reality Tangible Interfaces for Kindergarten Children 19 9. : theory, method and application. International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2006 Educators Program, Article No. 35 (2006) 10. : Using augmented reality games to teach 21st century skills. In: International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2006 Educators Program (2006) 11.

This step generates X, a list of feature points which are likely going to be more stable than Xls and Xlof alone. Finally, the Find Objects block finds good matches between points seen in the image and objects present in DB. Starting from the list of filtered feature points, X, and taking in consideration the list of objects recognized at the previous iteration, OBJ(t − 1), the algorithm will search for the best matches between groups of points and the object database. Eventually, the list of recognized objects OBJ and the list of feature points belonging to them, Xobj , are given as outputs.

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