Searched for: contributor:"Nan, Liangliang (mentor)"
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Garg, Chirag (author)
3D indoor reconstruction has been an important research area in the field of computer vision and photogrammetry. While the initial techniques developed for this purpose use sensor devices and multiple images for data acquisition and extracting 3D information and representation of the scene, with the advent of deep learning techniques, there has...
master thesis 2020
document
Kaniouras, Pantelis (author)
Road network maps facilitate a great number of applications in our everyday life. However, their automatic creation is a difficult task, and so far, published methodologies cannot provide reliable solutions. The common and most recent approach is to design a road detection algorithm from remote sensing imagery based on a Convolutional Neural...
master thesis 2020
document
Ai, Zhiwei (author)
Deep learning methods have been demonstrated to be promising in semantic segmentation of point clouds. Existing works focus on extracting informative local features based on individual points and their local neighborhood. They lack consideration of the general structures and latent contextual relations of underlying shapes among points. To this...
master thesis 2019
document
Bouzas, Vasileios (author)
In recent years, there is an ever-increasing demand — both by industry and academia — for 3D spatial information and especially, for 3D building models. One of the ways to acquire such models derives from the combination of massive point clouds with reconstruction techniques, such as Ball Pivoting and Poisson Reconstruction. The result of these...
master thesis 2019
document
Tzounakos, Nikos (author)
The use of 3D models has been rapidly expanding, finding applications in both<br/>scientific and commercial fields. One common requirement for these various applications is the geometrical and topological validity of these models. However, many models available online contain deficiencies in various forms, such as duplicated geometry, gaps in...
master thesis 2019
document
Du, Shenglan (author)
Trees are of great significance throughout the world, both in urban scenes and in natural environments. Models of trees can be widely applied in various fields, for instance, landscape design, geo-simulation, environment modelling, and forestry inventories. Recently, laser scanning technology has been rapidly developed, making it possible to...
master thesis 2019
document
Arapakis, Takis (author), van Heerden, Natasja (author), Rodriguez-Mon Barrera, Guillermo (author), Wang, Qu (author), Wang, Xin (author)
3D computer models are starting to play a more and more important role in our society. Realworldsituations are often too complex to explain in a 2D map and also the interest in virtualreality, serious gaming and other technologies that can be based on 3D computer models, isgrowing.
student report 2018
Searched for: contributor:"Nan, Liangliang (mentor)"
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