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Algorithms for Model Simplification
Pokorný, Jan ; Přibyl, Jaroslav (referee) ; Pečiva, Jan (advisor)
This paper is dedicated to simlification algorithms of polygonal models. First chapter deals with common principles of model simplification - features of polygonal models are explained here along with operations used in simlification. Next chapters introduce three simplification algorithms - Uniform Vertex Clustering, Floating Cell Vertex Clustering and Vertex Decimation. These methods are tested on a number of models and compared in various aspects - visual quality, aproximation time and geometric error of aproximation.
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3D Mapping of Outdoor Environment
Janalík, Radim ; Orság, Filip (referee) ; Herman, David (advisor)
This thesis deals with 3D map building of outdoor environment using laser rangefinders. Sensor measurements are transformed to the points and are aggregated to an internal model with respect to the current robot's position. From these points, a triangular mesh is created using Delaunay triangulation algorithm. The memory requirements for storing the internal model are reduced by mesh decimation algorithm. The presented method builds the map incrementally in real time. Several experiments have been conducted to verify the presented approach.
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Algorithms for Model Simplification
Pokorný, Jan ; Přibyl, Jaroslav (referee) ; Pečiva, Jan (advisor)
This paper is dedicated to simlification algorithms of polygonal models. First chapter deals with common principles of model simplification - features of polygonal models are explained here along with operations used in simlification. Next chapters introduce three simplification algorithms - Uniform Vertex Clustering, Floating Cell Vertex Clustering and Vertex Decimation. These methods are tested on a number of models and compared in various aspects - visual quality, aproximation time and geometric error of aproximation.
|
|
|
3D Mapping of Outdoor Environment
Janalík, Radim ; Orság, Filip (referee) ; Herman, David (advisor)
This thesis deals with 3D map building of outdoor environment using laser rangefinders. Sensor measurements are transformed to the points and are aggregated to an internal model with respect to the current robot's position. From these points, a triangular mesh is created using Delaunay triangulation algorithm. The memory requirements for storing the internal model are reduced by mesh decimation algorithm. The presented method builds the map incrementally in real time. Several experiments have been conducted to verify the presented approach.
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