The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration.
Traducción y accesibilidad audiovisual ofrece un breve pero riguroso recorrido a través de la historia de la traducción audiovisual, que va ganando cada vez más fuerza en el mundo académico conforme se consolidan sus líneas de investigación y va adquiriendo mayor relevancia pública, gracias a su valiosa contribución a la accesibilidad universal y al diseño para todos. Este manual sintetiza los conceptos básicos, así como los últimos avances de la literatura especializada en el campo de la traducción audiovisual, procurando acercarlos a cualquier lector interesado, empleando un tono divulgativo y describiendo de forma pormenorizada en qué consisten técnicas como el subtitulado, el doblaje y la accesibilidad en los medios. Además de un apartado bibliográfico muy completo y actualizado, todos aquellos que deseen profundizar en esta materia tan apasionante encontrarán en esta obra una serie de capítulos de lectura amena que vienen acompañados de actividades formativas y de tareas de aplicación práctica.
Translating the Hebrew Bible in Medieval Iberia provides the princeps diplomatic edition and a comprehensive study of Oxford, Bodleian Library, MS Hunt. 268. The manuscript, produced in the Iberian Peninsula in the late thirteenth century, features a biblical glossary-commentary in Hebrew that includes 2,018 glosses in the vernacular and 156 in Arabic, and to date is the only manuscript of these characteristics known to have been produced in this region. Esperanza Alfonso has edited the text and presents here a study of it, examining its pedagogical function, its sources, its exegetical content, and its extraordinary value for the study of biblical translation in the Iberian Peninsula and in the Sephardic Diaspora. Javier del Barco provides a detailed linguistic study and a glossary of the corpus of vernacular glosses. For a version with a list of corrections and additions, see https://digital.csic.es/handle/10261/265401.
The fully automated estimation of the 6 degrees of freedom camera motion and the imaged 3D scenario using as the only input the pictures taken by the camera has been a long term aim in the computer vision community. The associated line of research has been known as Structure from Motion (SfM). An intense research effort during the latest decades has produced spectacular advances; the topic has reached a consistent state of maturity and most of its aspects are well known nowadays. 3D vision has immediate applications in many and diverse fields like robotics, videogames and augmented reality; and technological transfer is starting to be a reality. This book describes one of the first systems for sparse point-based 3D reconstruction and egomotion estimation from an image sequence; able to run in real-time at video frame rate and assuming quite weak prior knowledge about camera calibration, motion or scene. Its chapters unify the current perspectives of the robotics and computer vision communities on the 3D vision topic: As usual in robotics sensing, the explicit estimation and propagation of the uncertainty hold a central role in the sequential video processing and is shown to boost the efficiency and performance of the 3D estimation. On the other hand, some of the most relevant topics discussed in SfM by the computer vision scientists are addressed under this probabilistic filtering scheme; namely projective models, spurious rejection, model selection and self-calibration.
In February 1981, just as Spain was finally leaving Franco's dictatorship and during the first democratic vote in parliament for a new prime minister - Colonel Tejero and a band of right-wing soldiers burst into the Spanish parliament and began firing shots. Only three members of Congress defied the incursion and did not dive for cover,: Adolfo Suarez the then outgoing prime minister, who had steered the country away from the Franco era, Guttierez Mellado, a conservative general who had loyally served democracy, and Santiago Carillo, the head of the Communist Party, which had just been legalised. In The Anatomy of a Moment, Cercas examines a key moment in Spanish history, just as he did so successfully in his Spanish Civil War novel, Soldiers of Salamis. This is the only coup ever to have been caught on film as it was happening, which, as Cercas says, 'guaranteed both its reality and its unreality'. Every February a few seconds of the video are shown again and Spaniards congratulate themselves for standing up for democracy, but Cercas says that things were very quiet that afternoon and evening while all over Spain people stayed inside waiting for the coup to be defeated .... or to triumph.
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