TY  - CONF
ID  - raul2018mvision
T1  - mVision, a Toolbox for Computer Vision Courses
A1  - Ruiz-Sarmiento, J. R.
A1  - Moreno, Francisco-Angel
A1  - Monroy, Javier
A1  - Gonzalez-Jimenez, Javier
TI  - 12th annual International Technology, Education and Development Conference (INTED'18)
Y1  - 2018
SP  - 5232
EP  - 5241
CY  - Valencia (Spain)
SN  - 978-84-697-9480-7
SN  - 2340-1079
UR  - http://mapir.isa.uma.es/mapirwebsite/index.php/papers/276
M2  - doi: 10.21125/inted.2018.1231
N2  - This paper presents the mVision toolbox to the lecturers’ community and computer vision practitioners, which is publicly available at https://github.com/jotaraul/mVision. mVision provides a number of intuitive Graphical User Interfaces (GUIs) to apply different computer vision techniques like: image smoothing or enhancement, edge detection, segmentation into regions, etc. The interesting point of these GUIs is that they offer handy ways to select and configure different popular algorithms and, in addition to the results of their execution (e.g. detected edges or regions), they also provide intermediate information that is useful for understanding what it is underneath. With these features, the toolbox attempts to fill the gap between low level implementations of computer vision techniques, which are efficient resources but hard to leverage for teaching purposes, and high level interfaces that bring to you just the output of these techniques, neglecting interesting intermediate results. In this way, mVision aims to become an engaging tool for both lecturers, pursuing a better and quicker understanding of the basis of these techniques, and computer vision students and practitioners seeking to enhance that basis. The toolbox is written for MATLAB, a popular software application in academia. This work also yields directions about its utilization for educational purposes, and describes our experience with it in undergraduate and graduate courses since 2009.
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