612 resultados para Música per ordinador
Resumo:
El artículo describe la simulación por ordenador digital de los efectos visuales en el organismo humano sometido a aceleraciones prositivas en sentido craneocaudal. Los resultados obtenidos posibilitan la utilización de un método complementario para la evaluación de la tolerancia a las aceleraciones positivas.
Resumo:
L'objectiu principal d'aquest treball és aplicar tècniques de visió articial per aconseguir localitzar i fer el seguiment de les extremitats dels ratolins dins l'entorn de prova de les investigacions d'optogenètica del grup de recerca del Neuroscience Institute de la Universitat de Princeton, Nova Jersey.
A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
Resumo:
One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed
Resumo:
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal
Resumo:
Image segmentation of natural scenes constitutes a major problem in machine vision. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. This approach begins by detecting the main contours of the scene which are later used to guide a concurrent set of growing processes. A previous analysis of the seed pixels permits adjustment of the homogeneity criterion to the region's characteristics during the growing process. Since the high variability of regions representing outdoor scenes makes the classical homogeneity criteria useless, a new homogeneity criterion based on clustering analysis and convex hull construction is proposed. Experimental results have proven the reliability of the proposed approach
Resumo:
Este trabajo se centra en el uso del lenguaje Python y la librería OpenCV de visión por computador para el seguimiento de crustáceos marinos en condiciones experimentales y determinar su comportamiento en un entorno social.
Resumo:
La investigació present se centra en l’estudi de la identitat professional del docent de música. Per abordar-la es creen diferents eines-programes inscrits en el macro-programa de les II Jornades de Pedagogia Musical -Punt i Seguit-, realitzades a l’Esmuc. La seva creació parteix d’un marc teòric sobre la identitat professional i el disseny i l’avaluació de programes. A través de l’anàlisi de dades extretes d’un qüestionari i del programa de debats ubicat a les jornades, es comencen a definir els trets implícits i compartits de la identitat professional del docent de música, i s’afirma l’existència d’una identitat incipient.
Resumo:
A partir de l’estudi general de l’obra d’Aleksandr Scriabin i a partir de l’anàlisi particular de la Sonata núm. 9 així com de les distintes influències que va tenir, el treball pretén fer una valoració de com caldria interpretar la Sonata núm. 9. És per això que hom fa una introducció general a la vida de Scriabin i el situa en el seu context històric; estudia el seu interès per la filosofia i com aquesta va influir en la seva obra. Alhora hom analitza la faceta de Scriabin com a pianista i en revisa l’obra com a compositor. La segona part del treball, pròpiament analítica, entra en la qüestió de les sonates i la importància que adquireixen en tota la seva obra per tal de centrar-se, en el darrer punt, en la Sonata núm. 9 i l’enfocament interpretatiu que podria tenir. Aquí, a partir del que prèviament s’ha estudiat, hom proposa una possibilitat interpretativa. En relació a aquest punt es comparen interpretacions de diversos pianistes.
Resumo:
En este trabajo se pretende, por una parte, analizar cuáles son los métodos y programas existentes que se utilizan en la enseñanza de la entonación asistida por ordenador. Por otra parte, se pretende proporcionar algunas ideas para la aplicación del soporte visual en la enseñanza de la entonación
Resumo:
El objetivo de esta investigación es comprobar la utilidad de las técnicas actuales de reconocimiento facial a través de la visión por computador en entornos museísticos. Para alcanzar este fin, he seguido las estrategias de diseño y creación para crear una aplicación que me permita posteriormente realizar una serie de experimentos, los cuales me proporcionarán los datos necesarios con los que evaluar la funcionalidad de estas técnicas existentes en obras de arte, en mi caso concretamente, sobre cuadros.
Resumo:
Peer-reviewed
Resumo:
Aquest projecte té com a objectiu la simulació numérica de la carrosseria d’ un vehicle de curses de muntanya de categoria CM
Resumo:
Peer-reviewed
Resumo:
As part of the Affective Computing research field, the development of automatic affective recognition systems can enhance human-computer interactions by allowing the creation of interfaces that react to the user's emotional state. To that end, this Master Thesis brings affect recognition to nowadays most used human computer interface, mobile devices, by developing a facial expression recognition system able to perform detection under the difficult conditions of viewing angle and illumination that entails the interaction with a mobile device. Moreover, this Master Thesis proposes to combine emotional features detected from expression with contextual information of the current situation, to infer a complex and extensive emotional state of the user. Thus, a cognitive computational model of emotion is defined that provides a multicomponential affective state of the user through the integration of the detected emotional features into appraisal processes. In order to account for individual differences in the emotional experience, these processes can be adapted to the culture and personality of the user.
Resumo:
We live in an era of profound changes in university education. The implementation of Bologna plan has led us to raise new teaching methodologies, to review the role of the student, competency assessment, the incorporation of ICT. Unthinkable acts, one or two decade ago. The TIC concept is very broad and is attributed to the media, processes and content usage. Inside the supports and platforms, we stress tools that allow automatic correction of exercises, because they are instruments of great educational value because instantly they assess students and provide instant feedback about the knowledge that they have either as message support or note. If the power of these tools, we add the Internet, using e-learning environment, the results allow us to work, edit, evaluate, resolve doubts, and so on, anywhere, anytime. We present part of a platform and the results of its use in the field of health sciences