Searched for: subject%3A%22pointcloud%22
(1 - 7 of 7)
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van Kouwen, Niels (author)
Many sand spits are morphodynamically complex cases that are hard to quantify. Therefore, most case studies on sand spits in a specific type of environment, are descriptive or even non-existent. As is the case for spits in low-energy lake environments, like the two spits at the Marker Wadden islands. Because quantification is necessary for spits...
master thesis 2022
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LIU, ZHENYU (author)
Many MLS point cloud application scenarios, such as navigation and localization algorithms, require only static environments, but the original MLS data usually inevitably includes many dynamic objects such as moving vehicles, bicycles, and pedestrians. Therefore, these dynamic objects need to be removed before using MLS point clouds. This thesis...
master thesis 2022
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Jansen, Jack (author), Subramanyam, Shishir (author), Bouqueau, Romain (author), Cernigliaro, Gianluca (author), Cabré, Marc Martos (author), Pérez, Fernando (author), Cesar, Pablo (author)
The advent of affordable 3D capture and display hardware is making volumetric videoconferencing feasible. This technology increases the immersion of the participants, breaking the flat restriction of 2D screens, by allowing them to collaborate and interact in shared virtual reality spaces. In this paper we introduce the design and development...
conference paper 2020
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Steinlechner, Harald (author), Rainer, Bernhard (author), Schwarzler, M. (author), Haaser, Georg (author), Szabo, Attila (author), Maierhofer, Stefan (author), Wimmer, Michael (author)
In this work, we propose an interaction-driven approach streamlined to support and improve a wide range of real-time 2D interaction metaphors for arbitrarily large pointclouds based on detected primitive shapes. Rather than performing shape detection as a costly pre-processing step on the entire point cloud at once, a user-controlled...
conference paper 2019
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Pronk, M.J. (author)
Solutions have been introduced to handle massive point clouds in Database Management Systems (DBMS), namely by Oracle in 2011 and postgreSQL in 2013. Many common operations on these massive point clouds require knowledge about the original surface in order to analyse them. A possible method to recreate a representation of the original surface is...
master thesis 2015
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Wong, H.M. (author)
master thesis 2012
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Khoshelham, K. (author), Gorte, B.G. (author)
This paper presents a method for automated pointcloud-to-map registration using a plane matching technique. The registration is based on estimating a transformation between a set of planes inferred from the map and their corresponding planes extracted from the pointcloud. A plane matching algorithm is developed to search for corresponding planes...
conference paper 2009
Searched for: subject%3A%22pointcloud%22
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