Online Robust 3D Mapping Using Structure from Motion Cues

This paper presents a complete solution for creating accurate 3D textured models from monocular video sequences. The methods are developed within the framework of sequential structure from motion, where a 3D model of the environment is maintained and updated as new visual information becomes available. The camera position is recovered by directly associating the 3D scene model with local image observations. Compared to standard structure from motion techniques, this approach decreases the error accumulation while increasing the robustness to scene occlusions and feature association failures. The obtained 3D information is used to generate high quality, composite visual maps of the scene (mosaics). The visual maps are used to create texture-mapped, realistic views of the scene

Monocular-based 3-D seafloor reconstruction and ortho-mosaicing by piecewise planar representation

Photo-mosaicing techniques have become popular for seafloor mapping in various marine science applications. However, the common methods cannot accurately map regions with high relief and topographical variations. Ortho-mosaicing borrowed from photogrammetry is an alternative technique that enables taking into account the 3-D shape of the terrain. A serious bottleneck is the volume of elevation information that needs to be estimated from the video data, fused, and processed for the generation of a composite ortho-photo that covers a relatively large seafloor area. We present a framework that combines the advantages of dense depth-map and 3-D feature estimation techniques based on visual motion cues. The main goal is to identify and reconstruct certain key terrain feature points that adequately represent the surface with minimal complexity in the form of piecewise planar patches. The proposed implementation utilizes local depth maps for feature selection, while tracking over several views enables 3-D reconstruction by bundle adjustment. Experimental results with synthetic and real data validate the effectiveness of the proposed approach

Omnidirectional Depth Computation from a Single Image

Omnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications

Modernisme : renovació pictòrica = Modernismo : renovación pictórica = Modernisme : pictorial renovation = Le Modernisme : renouveau pictural.

Guía para la visita de la sexta sala del Museo de Arte Moderno de Cataluña. Esta sala trata contenidos sobre el Modernismo, concretamente sobre la renovación pictórica que supuso el Modernismo. Mediante un mapa, esta guía orienta al visitante por los distintos espacios de la sala.

Phonological short term memory in deaf children fitted with a cochlear implant : effects of phonological similarity, word lenght and lipreading cues. 'La memoria fonológica a corto plazo en niños sordos con implante coclear : efectos de la similitud fonológica, la longitud de la palabra y la lectura labial'.

Resumen basado en el de la publicación. Resumen en español

King Cromwell? : a key stage 3 depth study.

Estudia la guerra civil desencadenada en el siglo XVII en Inglaterra y sus repercusiones sobre el sistema de gobierno del país, así como a uno de los personajes más controvertidos de la historia de Gran Bretaña, Oliver Cromwell. Cumple con los requisitos del currículo nacional inglés para la etapa de 3 de secundaria (key stage 3).Este texto esta preparado para el Schools History Project creado en 1972 para mejorar el estudio de la historia entre estudiantes de trece a dieciséis años. Reconsidera las formas en que la historia contribuye a las necesidades educativas de los jóvenes, y por ello idea nuevos objetivos, nuevos criterios para la planificación y desarrollo del curso, así como nuevos materiales de apoyo. Requiere nuevos criterios de evaluación y, por tanto nuevos exámenes y, adquirió mayor expansión con la introducción del General Certificate of Secondary Education (GCSE) en 1987.

OCR British depth study, 1939-1975.

Su contenido ha sido aprobado por el organismo Oxford Cambridge and RSA Examinations (OCR) para obtener el título de General Certificate Secondary Education (GCSE) en la especificación de Historia del mundo moderno. Está dividido en tres partes que proporcionan asesoramiento para enfocar el examen; los conocimientos contextuales para trabajar con las fuentes en los temas propuestos y, por último, modelos de examen para investigar sobre las fuentes.

OCR British depth study 1890-1918.

Libro de texto para la asignatura Historia del Mundo Moderno de enseñanza secundaria de segundo ciclo, según la especificación del OCR (Oxford Cambridge and RSA Examinations). Está estructurado en tres partes: una introducción sobre el uso del libro y consejos para realizar el examen oficial; una sección con los temas clave (reformas liberales de bienestar 1906-1912, sufragio femenino 1900-1918, frente civil británico durante la Primera Guerra Mundial 1914-1918); y un apartado con seis juegos de preguntas de desarrollo tipo examen.

Attention to health cues on product packages

The objectives of the study were (a) to examine which information and design elements on dairy product packages operate as cues in consumer evaluations of product healthfulness, and (b) to measure the degree to which consumers voluntarily attend to these elements during product choice. Visual attention was measured by means of eye-tracking. Task (free viewing, product healthfulness evaluation, and purchase likelihood evaluation) and product (five different yoghurt products) were varied in a mixed within-between subjects design. The free viewing condition served as a baseline against which increases or decreases in attention during product healthfulness evaluation and purchase likelihood evaluation were assessed. The analysis revealed that the only element operating as a health cue during product healthfulness evaluation was the nutrition label. The information cues used during purchase likelihood evaluation were the name of the product category and the nutrition label. Taken together, the results suggest that the only information element that consumers consistently utilize as a health cue is the nutrition label and that only a limited amount of attention is devoted to read nutrition labels during purchase likelihood evaluations. The study also revealed that the probability that a consumer will read the nutrition label during the purchase decision process is associated with gender, body mass index and health motivation.

Grabbing attention while reading website pages: the influence of verbal emotional cues in advertising

The increasing use of the World Wide Web has promised a huge advertising platform for marketers. Investment in online advertising is growing and is expected to overcome traditional media. However, recent studies have reported that users avoid looking at advertising displayed on the World Wide Web. This study aimed at examining the impact of verbal emotional cues (negative/neutral/positive) to capture attention on website’s advertising areas through an eye tracker system. The results revealed significant statistical differences between fixations to negative, positive words and neutral words. Significant differences between the number of fixations and recognition of the target words were found only for the negative valence words. We conclude that negative emotional words could play a major role on user attention to advertising.

Semantic-level Visual Content Descriptor combining visual and textual cues as collaterals

In this paper, we introduce a novel high-level visual content descriptor which is devised for performing semantic-based image classification and retrieval. The work can be treated as an attempt to bridge the so called “semantic gap”. The proposed image feature vector model is fundamentally underpinned by the image labelling framework, called Collaterally Confirmed Labelling (CCL), which incorporates the collateral knowledge extracted from the collateral texts of the images with the state-of-the-art low-level image processing and visual feature extraction techniques for automatically assigning linguistic keywords to image regions. Two different high-level image feature vector models are developed based on the CCL labelling of results for the purposes of image data clustering and retrieval respectively. A subset of the Corel image collection has been used for evaluating our proposed method. The experimental results to-date already indicates that our proposed semantic-based visual content descriptors outperform both traditional visual and textual image feature models.