Juan Manuel Manuel Ramos Ramos Arreguin

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Juan Manuel verified their affiliation via an institutional email.

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• PhD
• Researcher at Autonomous University of Queretaro

Fringe profilometry is a method that obtains the 3D information of objects by projecting a pattern of fringes. The three-step technique uses only three images to acquire the 3D information from an object, and many studies have been conducted to improve this technique. However, there is a problem that is inherent to this technique, and that is the q...

Resumen La navegación autónoma de micro vehículos aéreos (MAVs) con sensores visuales ha ganado relevancia, particularmente en la etapa de aterrizaje, donde los sensores de ubicación tradicionales pueden fallar. El uso de aprendizaje profundo y visión computacional permite superar estas limitaciones, pues las cámaras brindan más información del ent...

The precision of robotic manipulators in the industrial or medical field is very important, especially when it comes to repetitive or exhaustive tasks. Geometric deformations are the most common in this field. For this reason, new robotic vision techniques have been proposed, including 3D methods that made it possible to determine the geometric dis...

La epilepsia es una enfermedad neurológica caracterizada por convulsiones de manera recurrente y aleatoria, que afecta a alrededor de 70 millones de personas en todo el mundo. Actualmente, en la epileptología, área que trata con la clasificación, detección y predicción de eventos epilépticos, se ha trabajado con la aplicación de técnicas de intelig...

Artificial intelligence techniques for pneumatic robot manipulators have become of deep interest in industrial applications, such as non-high voltage environments, clean operations, and high power-to-weight ratio tasks. The principal advantages of this type of actuator are the implementation of clean energies, low cost, and easy maintenance. The di...

Resumen. La reconstrucción 3D se ha convertido en uno de los problemas centrales en visión por computadora y robótica. La principal problemática de estudio en este proceso es el registro de nubes de puntos. El algoritmo iterativo del punto más cercano (ICP) [7] es uno de los más populares para realizar esta tarea. El principal problema de ICP es su...

Resumen. Para poder realizar la reconstrucción de objetos en 3D, puede recurrirse a un tipo de estructura geométrica llamada "Nube de puntos". Una nube de puntos es un conjunto de coordenadas que representan la forma o superficie de un objeto. Uno de los principales problemas al hacer el mapeo 3D de escenas u objetos es la presencia de ruido y valo...

Resumen. La estimación de profundidad monocular se ha convertido recientemente en una de las técnicas emergentes y de creciente interés para la obtención de la estructura espacial de una escena. En gran parte, los recientes avances en el área de aprendizaje profundo han permitido obtener resultados prometedores en esta línea de investigación. No ob...

Resumen. La perfilometría por desplazamiento de fase se encuentra entre las técnicas mas populares de mediciónóptica debido a sus nu-merosas ventajas como alta resolución y bajo costo computacional. En perfilometría por desplazamiento de fase una serie de patrones de franjas cuadradas o senoidales son capturados mientras la fase cambia. La com-bina...

Haze is a source of unreliability for computer vision applications in outdoor scenarios, and it is usually caused by atmospheric conditions. The Dark Channel Prior (DCP) has shown remarkable results in image defogging with three main limitations: 1) high time-consumption, 2) artifact generation, and 3) sky-region over-saturation. Therefore, current...

Wavelet Transform Profilometry (WTP) is a 3D reconstruction method based on the structured light technique of fringe pattern projection (FPP), widely used because it is a non-invasive, high-performance 3D reconstruction method. The presence of shadows created by the object in the image capture process is an obstacle in obtaining accurate 3D reconst...

Outdoor scenes often contain atmospheric degradation such as fog or haze, which deteriorate the performance of tracking, autonomous driving and surveillance systems, among others, making dehazing methods an area of considerable interest. However, some dehazing techniques are computationally demanding, generating a trade-off between time-consumption...

Non-uniform illumination is a common issue in images acquired in uncontrolled environments. Elimination or reduction of the non-uniform illumination problem is required in order to get an accurate image binarization. This paper introduces the combination of the dark channel and the atmospheric scattering model along with the k-means segmentation to...

Outdoor images can be degraded due to the particles in the air that absorb and scatter light. The produced degradation generates contrast attenuation, blurring, and distortion in pixels, resulting in low visibility. These limit the efficiency of computer vision systems such as target tracking, surveillance, and pattern recognition. In this paper, w...

Outdoor images are used in a vast number of applications, such as surveillance, remote sensing, and autonomous navigation. The greatest issue with these types of images is the effect of environmental pollution: haze, smog, and fog originating from suspended particles in the air, such as dust, carbon and water drops, which cause degradation to the i...

En el presente trabajo se muestra la comparación realizada del método de Perfilometría por Transformada de Fourier. Utilizando en primer lugar la Trasformada de Fourier Unidimensional y posteriormente la Transformada de Fourier Bidimensional, ambas propuestas son utilizadas para la digitalización de objetos, teniendo variaciones principalmente en l...

Image pre-processing is a critical stage in computer vision systems, with greater relevance when the input images are captured in outdoor environments because the pictures could contain low contrast and modified colors. A common condition present in outdoor images is haze. In this work, a new dehazing algorithm based on dark channel prior mathemati...

Se propone la aplicación de asistentes virtuales en edificios inteligentes, en edificios inmóticos y domóticos, siendo el desarrollo de este prototipo un desarrollo completamente OpenSource. Se implementó un asistente virtual con interacción por comandos de voz en una tarjeta Raspberry Pi 3 haciendo uso de los servicios de voz a texto (STT) y texto...

En el presente artículo se describe la implementación de un algoritmo de encriptación basadoen permutación de elementos usando un código QR (Quick Response) para la gestión de acceso al personal autorizado, utilizando las capacidades que ofrece un sistema embebido. Los sistemas embebidos basados en arquitectura ARM (Advanced RISC Machine), poseen c...

Although pneumatic actuators have a good power-weight ratio, there is a reduced number of works that consider them to be applied in manipulator robots, mainly because they present difficulties to be controlled, and nonlinearities that make them complicated to obtain a mathematical model which describes their behavior in specific conditions. Control...

Nowadays, Robotics is a broad field of research, mainly when it comes to pneumatic robots due to its high nonlinearity. Most works have been developed using electric or hydraulic actuators, there are few works that use pneumatic actuators, this is the principal reason to develop a tool that permits to simulate the behaviour of the manipulator befor...

In this chapter the steps for 3D digitalization using a Fourier Transform Profilometry (FTP) are described, the first step is the fringe pattern projected over an object, then is captured by a camera to analysis on computer and extract the 3D information. The main analysis is about the fo position in the Fourier spectrum, because is in these step w...

In this paper a novel method is proposed to improve the performance of the SIFT (Scale Invariant Feature Transformation) algorithm in adverse illumination conditions (in an outdoor environment at night), for this research it is proposed to work with CLAHE (Contrast Limited Adaptive Histogram Equalization), adding a preprocessing stage to the tradit...

The embedded technology and its applications are growing in the industry and research areas. An important application is the image processing, but these process requires a lot of resources and computing time. This paper presents a digital system for image processing, using FPGA technology. The image is send from PC to the digital system through RS2...

This paper present an analysis and performance of the computer vision algorithm SIFT (Scale Invariant Feature Transformation), the algorithm will used for the recognition of an outdoor building, taking into consideration the possible variations due the changing luminosity and occlusion. An adjustment will be applied by techniques based on histogram...

The use of recurrence plots have been extensively used in various fields. In this work, recurrence plots investigate the changes in the non-linear behaviour of urban air pollution using large datasets of raw data (hourly). This analysis has not been used before to extract information from large datasets for this type of non-linear problem. Two diff...

The development of forecasting models for pollution particles shows a nonlinear dynamic behavior; hence, implementation is a non-trivial process. In the literature, there have been multiple models of particulate pollutants, which use softcomputing techniques and machine learning such as: multilayer perceptrons, neural networks, support vector machi...

The purpose of this work is to define and implement a proposal of a wireless system based on ZigBee modules to monitor the level of a stationary gas tank for a domestic household. It is intended to improve the transmission and information processing compared to similar monitoring systems that don´t use the ZigBee standard, to characterize and compa...