Santiago Salamanca

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Imagine for a moment that you have to solve a 3D jigsaw of which you have lost several pieces. You have also lost the original box-top showing the final picture, and as if that were not enough, some of the pieces you do have may belong to some other jigsaw. This is in essence the sort of challenge that we faced in the novel project that we shall be(More)
This work describes a method for filling holes in a 3D mesh based on 2D image restoration algorithms. Since these algorithms need an image as input, the first stage of the method concerns a 3D to 2D transformation. By projecting the 3D surface onto a squared plane, a 2D image is generated in such a way that the depth information is stored in each grid. The(More)
This work presents a new method for object recognition in complex scenes combining vision-based techniques applied to the 3D data obtained using range sensors, and object identification coming from Radio Frequency tags (RFID technology). Vision based algorithms for 3D recognition have many restrictions in practical applications: uncertainty, incapability(More)
In this paper we present a method for automatic segmentation of 3D complex scenes from a single range image. A complex scene includes several objects with: irregular shapes, occlusion, the same colour or intensity level and placed in any pose. Unlike most existing methods which proceed with a set of images obtained from different viewpoints, in this work a(More)
This paper deals with the generation of accurate, dense and coloured 3D models of outdoor scenarios from scanners. This is a challenging research field in which several problems still remain unsolved. In particular, the process of 3D model creation in outdoor scenes may be inefficient if the scene is digitalized under unsuitable technical (specific scanner(More)