Multimodal image fusion of anatomical structures for diagnosis, therapy planning and assistance

This paper provides an overview of work done in recent years by our research group to fuse multimodal images of the trunk of patients with Adolescent Idiopathic Scoliosis (AIS) treated at Sainte-Justine University Hospital Center (CHU). We first describe our surface acquisition system and introduce a set of clinical measurements (indices) based on the trunk's external shape, to quantify its degree of asymmetry. We then describe our 3D reconstruction system of the spine and rib cage from biplanar radiographs and present our methodology for multimodal fusion of MRI, X-ray and external surface images of the trunk We finally present a physical model of the human trunk including bone and soft tissue for the simulation of the surgical outcome on the external trunk shape in AIS.

Multifinger Feature Level Fusion Based Fingerprint Identification

Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Feature level fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification

Information Exchange and Fusion in Dynamic and Heterogeneous Distributed Environments

Context awareness, dynamic reconfiguration at runtime and heterogeneity are key characteristics of future distributed systems, particularly in ubiquitous and mobile computing scenarios. The main contributions of this dissertation are theoretical as well as architectural concepts facilitating information exchange and fusion in heterogeneous and dynamic distributed environments. Our main focus is on bridging the heterogeneity issues and, at the same time, considering uncertain, imprecise and unreliable sensor information in information fusion and reasoning approaches. A domain ontology is used to establish a common vocabulary for the exchanged information. We thereby explicitly support different representations for the same kind of information and provide Inter-Representation Operations that convert between them. Special account is taken of the conversion of associated meta-data that express uncertainty and impreciseness. The Unscented Transformation, for example, is applied to propagate Gaussian normal distributions across highly non-linear Inter-Representation Operations. Uncertain sensor information is fused using the Dempster-Shafer Theory of Evidence as it allows explicit modelling of partial and complete ignorance. We also show how to incorporate the Dempster-Shafer Theory of Evidence into probabilistic reasoning schemes such as Hidden Markov Models in order to be able to consider the uncertainty of sensor information when deriving high-level information from low-level data. For all these concepts we provide architectural support as a guideline for developers of innovative information exchange and fusion infrastructures that are particularly targeted at heterogeneous dynamic environments. Two case studies serve as proof of concept. The first case study focuses on heterogeneous autonomous robots that have to spontaneously form a cooperative team in order to achieve a common goal. The second case study is concerned with an approach for user activity recognition which serves as baseline for a context-aware adaptive application. Both case studies demonstrate the viability and strengths of the proposed solution and emphasize that the Dempster-Shafer Theory of Evidence should be preferred to pure probability theory in applications involving non-linear Inter-Representation Operations.

Practice english and music with songs and games

Cuaderno de trabajo dirigido a alumnos de Ense??anza Primaria que puede ser utilizado como material de apoyo y complementario. Se presenta un total de 22 unidades organizadas en dos partes: la primera presenta la canci??n o rima y la segunda una partitura con la melod??a. Se incluye un cap??tulo dedicado a la autoevaluaci??n con un total de 100 preguntas y otro dedicado al vocabulario. Se complementa este trabajo con un CD cuyo objetivo es combinar el aprendizaje y la pr??ctica del idioma ingl??s con el uso de las nuevas tecnolog??as.

The Audiomomma Music Recommendation System

We design and implement a system that recommends musicians to listeners. The basic idea is to keep track of what artists a user listens to, to find other users with similar tastes, and to recommend other artists that these similar listeners enjoy. The system utilizes a client-server architecture, a web-based interface, and an SQL database to store and process information. We describe Audiomomma-0.3, a proof-of-concept implementation of the above ideas.

Surface registration from range image fusion

The registration of full 3-D models is an important task in computer vision. Range finders only reconstruct a partial view of the object. Many authors have proposed several techniques to register 3D surfaces from multiple views in which there are basically two aspects to consider. First, poor registration in which some sort of correspondences are established. Second, accurate registration in order to obtain a better solution. A survey of the most common techniques is presented and includes experimental results of some of them

A review of sensor fusion techniques for underwater vehicle navigation

This work provides a general description of the multi sensor data fusion concept, along with a new classification of currently used sensor fusion techniques for unmanned underwater vehicles (UUV). Unlike previous proposals that focus the classification on the sensors involved in the fusion, we propose a synthetic approach that is focused on the techniques involved in the fusion and their applications in UUV navigation. We believe that our approach is better oriented towards the development of sensor fusion systems, since a sensor fusion architecture should be first of all focused on its goals and then on the fused sensors

Labyrinthine Music

A couple of MP3 files and a web link that describes how the music was created.

The use of music in television advertising to successfully target the audience. A John Lewis case study.

The use of music in television advertising to successfully target the audience. A John Lewis case study.

B&C +Emerging Music+ Management+

B&C tiene como idea de negocio representar a músicos emergentes ofreciendo un servicio de asesoría y acompañamiento integral para la construcción de un producto musical altamente competitivo en el mercado global.

Learn music with Pipo. 'Aprende música con Pipo'.

Con el tercer número de la colección de Pipo los niños a partir de los dos años se iniciarán en el mundo de la música de la manera más divertida. Contiene juegos y actividades relacionados con notas, tonos, melodías, pentagramas, instrumentos, composición, memoria auditiva, notación musical y midi. dición realizada con apoyo de la Conselleria d'Educació, Cultura i Esports del Govern Balear. Incluye un cuento, adhesivos y una plantilla de piano.

Fusión andina

SOEX será una organización bogotana que desarrolla y ubica en el mercado música fusión basada en aires andinos colombianos. Se orientará a ofrecer al consumidor productos que amplían la oferta cultural que hasta la fecha se ha desarrollado en el país, al vincular de una manera innovadora iniciativas musicales basadas en el ensamble de géneros tradicionales andinos colombianos, con ritmos electrónicos, rock, hip hop, entre otros; para llegar a posicionar la música con aires andinos en mercados nacionales e internacionales como ha sucedido con los aires Caribeños y de la región Pacífica.

Review about neuropsychological processing of tonal attributes of music in the Western context

Many discussions about the music processing have occurred over the years. It is stated, on one hand, the existence of a single joint for grasping the music or any of its attributes by the Central Nervous System. Furthermore, it is claimed also the existence of multiple and diverse systems to understand each aspect of music. In general, model-independent set, studies focusing on the processing of sound components, specifically the musical tones, can significantly clarify the basic functioning of the auditory system and other higher brain functions. In this sense, one of the most prominent approaches in the study of sensory and perceptual processes of hearing, or changed unharmed, has been Neuroscience, which is interested in the interaction between the brain areas corresponding to different cognitive processes. Thus, the purpose of this study was to review the studies that dealt processing models of the attributes of tonal Western music, based on the conception that neuropsychological neural structures are interdependent sensory pathways.