Adan Salazar-Garibay

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This paper addresses the problem of tracking a planar region of the scene using an uncalibrated omnidirectional camera. Omnidirectional cameras are a popular choice of visual sensors in robotics because the large field of view is well adapted to motion estimation and obstacle avoidance. The novelty of this work resides in simplifying the calibration phase(More)
Omnidirectional cameras are a popular choice of visual sensors in robotics because their large field of view is well suited for motion estimation and obstacle avoidance. However their practical use is often burdened by the calibration phase that can be time consuming and require an experienced user. The contribution of this work is a simplification of(More)
Calibrating a camera means determining the geometric properties of the imaging process, i.e., the transformation that maps a three-dimensional point, expressed with respect to a reference frame, onto its two-dimensional image whose coordinates are expressed in pixel units. This process is required when recovering 3D information. More precisely, we have to(More)
Calibrating a camera means determining the geometric properties of the imaging process, i.e., the transformation that maps a three-dimensional point, expressed with respect to a reference frame, onto its two-dimensional image whose coordinates are expressed in pixel units. This process is required when recovering 3D information. More precisely, we have to(More)
This paper presents a recognition method for natural images based on color texture histograms in the context of image interpretation and scene modeling. A color histogram of sums and differences is proposed to obtain texture features which are faster to compute than correlograms ( i.e., colored version of co-occurrence matrices) and improving substantially(More)
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