Mostrando ítems 1-19 de 19

    • 3D Object Reconstruction Using Concatenated Matrices with MS Kinect: A Contribution to Interiors Architecture 

      Buele, Jorge (1); Varela-Aldás, José; Castellanos, Esteban X.; Jadán-Guerrero, Janio; Barberán, Jeneffer (Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 2020)
      Interior architecture is part of the individual, social and business life of the human being; it allows structuring the spaces to inhabit, study or work. This document presents the design and implementation of a system ...
    • A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm 

      Rajinikanth, V.; Kadry, Seifedine; González-Crespo, Rubén; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...
    • ADT-3D Tumor Detection Assistant in 3D 

      García Castellot, Jaime; Lazcano Bello, Jaime (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      The present document describes ADT-3D (Three-Dimensional Tumor Detector Assistant), a prototype application developed to assist doctors diagnose, detect and locate tumors in the brain by using CT scan. The reader may find ...
    • Data Science Techniques for COVID-19 in Intensive Care Units 

      Muñoz Lezcano, Sergio; López Hernández, Fernando Carlos; Corbi Bellot, Alberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      Data scientists aim to provide techniques and tools to the clinicians to manage the new coronavirus disease. Nowadays, new emerging tools based on Artificial Intelligence (AI), Image Processing (IP) and Machine Learning ...
    • Detección de uso correcto de tapabocas empleando aprendizaje automático 

      Leturia-Rodríguez, Walter Iván (22/09/2021)
      La pandemia causada por el virus COVID-19 ha causado estragos alrededor del mundo y la primera barrera de defensa es el uso correcto de tapabocas. El presente trabajo presenta una herramienta de software basada en ...
    • Development of a deep learning model for recognising traffic sings focused on difficult cases 

      De Arriba López, Vanessa; Cobos-Guzmán, Salvador (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      The automotive industry is expanding its efforts to develop new techniques for increasing the level of intelligent driving and create new autonomous cars capable of driving with more intelligent capabilities. Thus, companies ...
    • Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review 

      Devi, Salam Shuleenda; Sheikh, Shah Alam; Laskar, Rabul Hussain (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Microscopic image analysis of blood smear plays a very important role in characterization of erythrocytes in screening of malaria parasites. The characteristics feature of erythrocyte changes due to malaria parasite ...
    • Fusing Facial Features for Face Recognition 

      Ahmad Dargham, Jamal; Chekima, Ali; Gubin Moung, Ervin (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2012)
      Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that ...
    • Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks 

      Khari, Manju; Garg, Aditya Kumar; González-Crespo, Rubén (1); Verdú, Elena (1) (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2019)
      In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ...
    • Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks 

      González-Crespo, Rubén; Verdú, Elena; Khari, Manju; Garg, Aditya Kumar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In this era, the interaction between Human and Computers has always been a fascinating field. With the rapid development in the field of Computer Vision, gesture based recognition systems have always been an interesting ...
    • GIFT: Gesture-Based Interaction by Fingers Tracking, an Interaction Technique for Virtual Environment 

      Ullah, S; Raees, M (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Three Dimensional (3D) interaction is the plausible human interaction inside a Virtual Environment (VE). The rise of the Virtual Reality (VR) applications in various domains demands for a feasible 3D interface. Ensuring ...
    • Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space 

      Restrepo Rodríguez, Andrés Ovidio; Casas Mateus, Daniel Esteban; Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos; González-Crespo, Rubén (1) (Sysmmetry. Basel, 12/2018)
      Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...
    • Infected Fruit Part Detection using K-Means Clustering Segmentation Technique 

      Dubey, Shiv Ram; Dixit, Pushkar; Singh, Nishant; Gupta, Jay Prakash (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ...
    • Iris recognition using the JAVAVis Library 

      Larrumbe Hidalgo, V.; Martin García, L.; Taboada Lorenzo, M. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      This project has been created to develop a biometric identification system through a man’s iris using a computer to perform the processing of the pictures. To develop this application, and to differentiate the project ...
    • Learning Models for Semantic Classification of Insufficient Plantar Pressure Images 

      Dey, Nilanjan; Wu, Yao; Wu, Qun; Sherratt, Simon (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)
      Establishing a reliable and stable model to predict a target by using insufficient labeled samples is feasible and effective, particularly, for a sensor-generated data-set. This paper has been inspired with insufficient ...
    • Multi-agent Systems for Arabic Handwriting Recognition 

      Boulid, Youssef; Souhar, Abdelghani; Elyoussfi Elkettani, Mohamed (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      This paper aims to give a presentation of the PhD defended by Boulid Youssef on December 26th, 2016 at University Ibn Tofail, entitled “Arabic handwritten recognition in an offline mode”. The adopted approach is realized ...
    • Restauración de imágenes a través del modelo de Perona y Malik 

      Suárez-Villota, Ángela Paola (03/2021)
      En el siguiente trabajo se realizará un estudio descriptivo de la formulación del modelo de Perona-Malik para reducir el ruido en las imágenes, tomando como caso particular la ecuación de calor, se explicarán las ...
    • Segmentación semántica de imágenes para la obtención de rutas libres de obstáculos 

      Carrillo-Velarde, Cristhyan Javier (09/02/2021)
      La identificación de patrones y objetos dentro de una imagen con el fin de elegir una ruta libre de circulación para el desplazamiento de un sistema móvil es un problema complejo si se tiene un entorno desconocido o con ...
    • SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique 

      D. Pujari, Jagadeesh; Yakkundimath, Rajesh; Syedhusain Byadgi, Abdulmunaf (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      Computers have been used for mechanization and automation in different applications of agriculture/horticulture. The critical decision on the agricultural yield and plant protection is done with the development of expert ...