Download Augmented and Virtual Reality: First International by Lucio Tommaso De Paolis, Antonio Mongelli PDF

By Lucio Tommaso De Paolis, Antonio Mongelli

This booklet constitutes the completely revised papers of the 1st foreign convention on Augmented and digital fact, AVR 2014, held in Lecce, Italy, in September 2014. The 28 papers, 2 tutorials and three keynotes awarded have been rigorously reviewed and chosen from seventy six submissions. They comprise subject matters from virtual/augmented/mixed truth to 3D person interfaces and the expertise had to permit those environments to quite a lot of functions (medical, leisure, army, layout, manufacture, upkeep, arts and cultural heritage).

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Extra info for Augmented and Virtual Reality: First International Conference, AVR 2014, Lecce, Italy, September 17-20, 2014, Revised Selected Papers

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11. By this way, user will learn the traffic rules. -F. Lin et al. Fig. 6. The weapon will appear at the top of the car Fig. 7. A roadblock hindrance on the screen A MAR Game Design via a Remote Control Module Fig. 8. Drive and crash into roadblocks Fig. 9. -F. Lin et al. Fig. 10. The green traffic light is safe to pass Fig. 11. Passing through the red traffic light causes warning A MAR Game Design via a Remote Control Module 5 17 Conclusions We construct virtual object settings and create the appearance by traffic signal as well as various animation of virtual traffic light, for the reality and remote toys as starting point.

AR interaction with different devices produces more interesting applications. In this paper, we propose two system process modes and design three play scenarios. Combining AR and remote-control car gets more different experience and pleasure. Future studies should further investigate user friendliness and usability with respect to remote-control toys and AR system. The development of additional interaction technology to create Augmented Reality content allows users to understand and use easily.

Full tracking solutions can be divided into model-based and appearance-based approaches. Model-based approaches [12] are based on a 3D model representing the object to be tracked. These approaches seek for the 3D model parameters that minimize the discrepancy between the appearance and 3D structure of hypothesized instances of the model and actual observations. The problem is usually solved using probabilistic optimization approaches [25] or evolutionary algorithms [20], leading to accurate results, but requiring a lot of computational resources.

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