CS Other Presentations
Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):RSS Directions
Presentations Coordinator: Demetris Zeinalipour
Invited Course Lecture: Rapid Creation of Photorealistic Large-Scale Urban City Models, Charis Poullis (University of Cyprus, Cyprus), Friday, February 12th, 2010, 15:00-16:30 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Invited Course Lecture entitled:
Rapid Creation of Photorealistic Large-Scale Urban City Models
Speaker: Charis Poullis
In recent years there has been an increasing demand for applications which employ miniature representations of the real world to recreate realistic and immersive virtual environments. Many applications ranging from computer graphics and virtual reality, to Geographical Information Systems have already successfully used real world representations derived from the combination of multi-sensory data captured from aerial or satellite imagery and LiDAR(Light Detection and Ranging) scanners. However, despite their widespread and successfull application, the creation of such realistic 3D content remains a complex, time-consuming, expensive and labor-intensive task. In fact, the creation of models is still widely viewed as a specialized art, requiring personnel with extensive training and experience to produce useful models. In this research, we focus on historically-difficult problems in creating large- scale (city size) scene models from sensor data, including rapid extraction and modeling of geometry models, re-production of high-quality scene textures, and fusion and completion of the geometry and texture data to produce photorealistic 3D scene models. We address the current problems and limitations of state of the art techniques and present our solutions, including a fully automatic technique for extraction of polygonal 3D models from LiDAR data, and a flexible texture blending technique for generation of photorealistic textures from multiple optical sensor resources. The result is a unified(multi-sensory), comprehensive(structure and appearance) and immersive representation of large-scale areas of the real world.
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