Please use this identifier to cite or link to this item:
|Title:||3D reconstruction of urban areas||Authors:||Poullis, Charalambos||Keywords:||Image reconstruction
|Issue Date:||2011||Publisher:||IEEE||Source:||International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 2011, Hangzhou||Abstract:||Abstract Virtual representations of real world areas are increasingly being employed in a variety of different applications such as urban planning, personnel training, simulations, etc. Despite the increasing demand for such realistic 3D representations, it still remains a very hard and often manual process. In this paper, we address the problem of creating photorealistic 3D scene models for large-scale areas and present a complete system. The proposed system comprises of two main components: (1) A reconstruction pipeline which employs a fully automatic technique for extracting and producing high-fidelity geometric models directly from Light Detection and Ranging (LiDAR) data and (2) A flexible texture blending technique for generating high-quality photorealistic textures by fusing information from multiple optical sensor resources. The result is a photorealistic 3D representation of large-scale areas(city-size) of the real-world. We have tested the proposed system extensively with many city-size datasets which confirms the validity and robustness of the approach. The reported results verify that the system is a consistent work flow that allows non-expert and non-artists to rapidly fuse aerial LiDAR and imagery to construct photorealistic 3D scene models.||URI:||http://ktisis.cut.ac.cy/handle/10488/7110||DOI:||10.1109/3DIMPVT.2011.14||Rights:||© IEEE.|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.