Vitor P. Profile

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$30 USD / jam

lisbon,

portugal

$30 USD / jam

Sekarang jam 9:16 PG di sini

Menyertai November 19, 2011

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Vitor P.

@vitormcpedro

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(0 ulasan)

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$30 USD / jam

lisbon,

portugal

$30 USD / jam

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Kadar Upah Semula

Software Engineer

I have an MSc in Electrical and Computer Engineering from University of Coimbra, Portugal. In the past 7 years after my graduation, I have been working as a software engineer and I had the opportunity to gain experience in a broad range of technologies and to work in different fields. I started my career as an IT Trainee in a major Portuguese Telecommunications company, working in different web and mobile software development projects. Then I worked as a Research fellow in University of Coimbra, developing computer vision and image processing algorithms for image matching and place recognition. After that, I have worked 4 years as a C++ Software Engineer in a startup company, Perceive3D, developing real time image processing software for medical devices. Since 2017, I have been working as a Research Engineer at Vision-Box, developing computer vision and machine learning biometric and anti-spoofing solutions.

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Portfolio

Project developed at http://perceive3d.com with emphasis in low level C development. The main goal of the project was to develop a device driver to perform HDMI video acquisition in the Jetson TK1 embedded platform through Camera Serial Interface (CSI).

Linux Device Driver

Research and Development project at https://www.isr.uc.pt with emphasis in computer vision and image recognition systems. The main goal of the application was to build a visual recognition system for localization purposes by establishing correspondences between a query image and a database of geo-referenced images constituting a topological visual map. Publication on https://ieeexplore.ieee.org/document/6225134/.

Image recognition for localization in indoor environments

Project developed at http://perceive3d.com with emphasis in C++ and Cuda development using several mathematical and computer vision Frameworks for the medical devices area. The main goal of the application was to acquire, calibrate and rectify stereo images captured by two generic USB cameras.

Stereo Imaging Processor

Project developed at http://perceive3d.com with emphasis in C++ using several mathematical Frameworks. The main goal of the API was to provide a set of functionalities for calibrating cameras with radial distortion. It allowed to obtain the relation between the camera’s natural units (pixels) and the real-world units (millimeters, for instance). It also allowed the modelling of the image distortion.

Camera Calibration API

Real time image enhancement software

Facial Recognition Software

Linux Device Driver

Image recognition for localization in indoor environments

Stereo Imaging Processor

Camera Calibration API

Real time image enhancement software

Facial Recognition Software

Ulasan

Perubahan disimpan

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Pengalaman

Vision-Box

Mei 2017 - Hari ini

Research and Development of computer vision and machine learning solutions for biometric and anti-spoofing solutions. Integration of biometric recognition components. Technologies: C++, C#, Python, OpenCV, Tensorflow.

Perceive3D

Apr 2013 - Apr 2017 (4 tahun)

- Development of real time image processing applications for medical devices using C++ and Cuda; - Identification of technical solutions for new business requirements; - Responsible for the implementation of SCRUM methodology in the company; - Project planning (time estimation, definition of goals for each release and task assignment); - Software documentation; - Technologies used: C, C++, Matlab, OpenGL, OpenCV, Eigen, Cuda, QT, GIT, Linux, Python.

Institute of Systems and Robotics, Unversity of Coimbra

Sep 2012 - Apr 2013 (7 bulan, 1 hari)

- Development of a visual recognition system for localization purposes by establishing correspondences between a query image and a database of geo-referenced images constituting a topological visual map; - Technologies used: C, Matlab, Python, Latex.

Pendidikan

MSc, Electrical and Computer Engineering

Universidade de Coimbra,

Portugal

2006 - 2011

(5 tahun)

Penerbitan

Visual recognition using omnidirectional images maps

Proc. of RECPAD'2011

A valuable competence for a robot is the ability to localize itself with respect to the environment for performing e.g. autonomous navigation and obstacle avoidance. This paper describes techniques for recognition using visual maps constituted by paracatadioptric images. These images contain a more complete description of the scene, covering a wider area than traditional images.

Localization in large-scale indoor environments by querying omnidirectional visual maps

IEEE International Conference on Robotics and Automation, 2012

This article addresses the problem of image based localization in indoor environments. The localization is achieved by querying a database of omnidirectional images that constitutes a detailed visual map of the building where the robot operates. Omnidirectional cameras have the advantage, when compared to standard perspectives, of capturing in a single frame the entire visual content of a room.