Joaquirn Salvi

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The perspective projection models the way a 3D scene is transformed into a 2D image, usually through a camera or an eye. In a projective transformation, parallel lines intersect in a point called vanishing point. This paper presents in detail two calibration methods that exploit the properties of vanishing points. The aim of the paper is to offer a(More)
A practical way for obtaining depth in computer vision is the use of structured light systems. For panoramic depth reconstruction several images are needed which most likely implies the construction of a sensor with mobile elements. Moreover, misalignments can appear for non-static scenes. Omnidirectional cameras offer a much wider field of view than the(More)
Proposed is an appearance-based mapping and localisation method based on the human memory model, which is used to build a feature stability histogram (FSH) at each node in the robot topological map. FSH registers local feature stability over time through a voting scheme, and most stable features are considered for mapping and Bayesian localisation.(More)
Obtaining automatic 3D profile of objects is one of the most important issues in computer vision. With this information, a large number of applications become feasible: from visual inspection of industrial parts to 3D reconstruction of the environment for mobile robots. In order to achieve 3D data, range finders can he used. Coded Structured light approach(More)
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