3D visual reconstruction of large scale natural sites and their fauna

Komodakis, Nikos; Panagiotakis, Costas; Tziritas, Georgios

doi:10.1016/j.image.2005.04.006

Cited by 4 publications

(3 citation statements)

References 31 publications

(31 reference statements)

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“…To improve the usability of this method, it might be preferable to combine the vegetation and visualization model in one web application, so that the user can easily change the plant distribution in the 3D visualization without having to do offline computations. Further, it might be interesting to extend the framework by including the fauna of the environment to improve realism [Komodakis et al 2005]. Finally, our framework has only been tested on environments with only grass-like plant species; we would like to do additional testing for other more forest-like scenes to investigate the quality and performance of its results.…”

Section: Resultsmentioning

confidence: 99%

Procedural generation and interactive web visualization of natural environments

Onrust

Bidarra

Rooseboom

et al. 2015

Proceedings of the 20th International Conference on 3D Web Technology

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Interactive 3D visualization of natural environments can help ecologists, policy makers and the broad public in general to better understand, promote and protect both existing and developing environments. The creation and exploration of virtual worlds can be very helpful for this purpose. However, current techniques are not able to generate sound complex natural environments from ecological data for the use of interactive webbased visualizations. In this thesis, we approach the challenge of developing and interactively visualizing in real time ecologically accurate and visually convincing models of complex natural environments over the web. For this, we propose a framework that (i) is able to combine landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a detailed 3D representation of the natural environment and provides for its fully interactive visualization in real-time over the web. The main contributions of this research are a procedural method to generate complete and sound natural environments and a web-based renderer that is able to real-time visualize complex natural environments with their high density and variability of individual organisms. The vegetation model combines and improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distribution directly from landscape maps with statistics about coverage and patchiness of plant species. The visualization model uses several existing level-of-detail and illumination techniques to achieve interactive frame rates and improve realism. Validation of the results with ecology experts led us to conclude that our framework provides convincing interactive visualizations of large virtual natural environments.iii

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Section: Resultsmentioning

confidence: 99%

Procedural generation and interactive web visualization of natural environments

Onrust

Bidarra

Rooseboom

et al. 2015

Proceedings of the 20th International Conference on 3D Web Technology

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show abstract

“…To improve the usability of this method, it might be preferable to combine the vegetation and visualization model in one web application, so that the user can easily change the plant distribution in the 3D visualization without having to do offline computations. Furthermore, it might be interesting to extend the framework by including the fauna of the environment, for improved realism [34]. Finally, so far our framework has been tested on environments with only grass-like plant species; we would like to do additional testing for other more forest-like scenes to assess the quality and performance of its results.…”

Section: Discussionmentioning

confidence: 99%

Ecologically Sound Procedural Generation of Natural Environments

Onrust

Bidarra

Rooseboom

et al. 2017

International Journal of Computer Games Technology

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Current techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments. We tackle this challenge and propose a novel framework that (i) explores the advantages of landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a visually convincing 3D representation of the natural environment suitable for its interactive visualization over the web. Our vegetation model improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distributions directly from landscape maps with statistical ecological data. Our visualization model integrates existing level of detail and illumination techniques to achieve interactive frame rates and improve realism. We validated with ecology experts the outcome of our framework using two case studies and concluded that it provides convincing interactive visualizations of large natural environments.

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“…Efficient modeling for motion analysis and synthesis are provided as well as an aperiodic synthetic undulatory locomotion algorithm. Related publications of this chapter are [55,56,57].…”

Section: Synthesismentioning

confidence: 99%

Motion analysis and modeling for activity recognition and 3-D animation based on geometrical and video processing algorithms

Παναγιωτάκης¹

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Prof. Tziritas for his numerous stimulating conversations, ideas, advising and financial/material supportance. Our excellent collaboration has started since June of 1999, supervising me during my diploma thesis (1999)(2000)(2001), my master thesis (2001)(2002)(2003) and my PhD thesis (2003)(2004)(2005)(2006)(2007). Throughout all my years (8 years) at the lab, Prof. Tziritas has always been a reference of dedication. Moreover, I am grateful to Prof. Tziritas for giving me the freedom to choose and explore different directions of research and for helping me to acquire my research style.I would like to express my gratitude to the members of my doctoral committee. Many thanks to Prof. Panos Trahanias and Assoc. Prof. Yannis Stylianou for useful remarks, advices and ideas during the thesis. Many thanks also to Assist. Prof. George Georgakopoulos for the numerous stimulating conversations and fruitful collaboration on the curve equipartition problem. I would like to thank Prof. Denis Pellerin for the excellent collaboration on human motion analysis, useful conversations and for the grateful hospitality during my visiting in Grenoble. Many thanks to thank Prof. Sergios Theodoridis for useful remarks and traveling to Heraklion to participate for my thesis defence. I 'd like to thank Prof. Lydia Kavraki for useful remarks and interesting ideas about possible applications and future work. In this paragraph, I would like to thank my real friend and excellent contributor, Emmanuel Ramasso (PhD, GIPSA-lab, Grenoble). Our PhDs have allowed a fruitful collaboration on human motion analysis during year 2004-2007 in SIMILAR framework. We have been involved in the SIMILAR PhD exchanges. I visited GIPSA-lab on January of 2006, while Emmanuel visited UOC on May of 2006. Special thanks go to Sylvie (wife of Emmanuel) for grateful hospitality. You are always invited to visit us in Crete. Moreover, I am grateful to Prof. Michele Rombaut, for the excellent iii hospitality, collaboration and useful discussions. Our work received the Sponsor Award for the most suitable work for commercialization on Intern. Conf. on Articulated Motion and Deformable Objects 2006 [1] and promises more results in the future, since we continue collaboration and research. Special thanks go to Ilias Grinias, to Assist. Prof. Anastasios Doulamis and to Prof. Paris Pamfilos for the many fruitful discussions and ideas. I would also like to thank my colleges (Antonis Papadogianakis, Nikos Komodakis, Panagiotis Koutsourakis, Giannis Augouleas and Giannis Polioudakis) at the Lab for the friendly atmosphere and the useful discussions that have greatly influenced this work.I also would like to thank, Assist. Prof. Eleni Kokkinou and Charis Papadakis for taking the time for proofreading, in spite of all other pressing activities.Last but not least, special thanks to my parents Manolis and Afroditi, my friends and especially my fiancee Maria for their constant support, encouragement and infinite patience.

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3D visual reconstruction of large scale natural sites and their fauna

Cited by 4 publications

References 31 publications

Procedural generation and interactive web visualization of natural environments

Procedural generation and interactive web visualization of natural environments

Ecologically Sound Procedural Generation of Natural Environments

Motion analysis and modeling for activity recognition and 3-D animation based on geometrical and video processing algorithms

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