Object Recognition Through Artificial Intelligence Techniques
This paper describes a methodology for object recognition categorized as polyhedron and non-polyhedron. This recognition is achieved through digital image processing combined with artificial intelligence algorithms, such as Hopfield networks. The procedure consists of processing images in search of...
Huvudupphovsmän: | Ramírez-Arias, José Luis, Rubiano-Fonseca, Astrid, Jiménez-Moreno, Robinson |
---|---|
Materialtyp: | Online |
Språk: | eng spa |
Publicerad: |
Universidad Pedagógica y Tecnológica de Colombia
2020
|
Ämnen: | |
Länkar: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/10734 |
- Liknande verk
-
Fruit rrpeness identification with artificial neural networks - A review
av: Figueredo-Ávila, Gustavo Andrés, et al.
Publicerad: (2016) -
Fractographic classification in metallic materials by using 3D processing and computer vision techniques
av: Bastidas-Rodríguez, Maria Ximena, et al.
Publicerad: (2016) -
Face and gesture recognition by using a relevance analysis with 3D images
av: Correa, Alexander Cerón, et al.
Publicerad: (2013) -
Determination of the Inside Diameter of Pressure Pipes for Drinking Water Systems Using Artificial Neural Networks
av: García-Ubaque, Cesar-Augusto, et al.
Publicerad: (2022) -
Accreditation in Higher Education in Brazil: Notes from the legal devices of education in Brazil
av: Jamil Cury , Carlos Roberto
Publicerad: (2022)