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Object Indentification Using 3D SketchUp Models in Environment Scans
 

Object Indentification Using 3D SketchUp Models in Environment Scans

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Abstract. This work introduces a novel solution for localizing objects based on search strings and freely available Google SketchUp models. To this end we automatically download and preprocess a ...

Abstract. This work introduces a novel solution for localizing objects based on search strings and freely available Google SketchUp models. To this end we automatically download and preprocess a collection of 3D models to obtain equivalent point clouds. The outdoor scan is segmented into individual objects, which are sequentially matched with the models by a variant of iterative closest points algorithm using seven degrees of freedom and resulting in a highly precise pose estimation of the object. An error function evaluates the similarity level. The approach is verified using various segmented cars and their corresponding 3D models.

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    Object Indentification Using 3D SketchUp Models in Environment Scans Object Indentification Using 3D SketchUp Models in Environment Scans Presentation Transcript