31 resultados para Binocular-rivalry
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
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- Deakin Research Online - Australia (41)
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- Duke University (3)
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- Helda - Digital Repository of University of Helsinki (2)
- Indian Institute of Science - Bangalore - Índia (4)
- Instituto Politécnico do Porto, Portugal (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Massachusetts Institute of Technology (7)
- Memoria Académica - FaHCE, UNLP - Argentina (4)
- Ministerio de Cultura, Spain (5)
- National Center for Biotechnology Information - NCBI (6)
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- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (22)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (12)
- Universidad Politécnica de Madrid (1)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (13)
- University of Michigan (7)
- University of Queensland eSpace - Australia (12)
Resumo:
For many tasks, such as retrieving a previously viewed object, an observer must form a representation of the world at one location and use it at another. A world-based 3D reconstruction of the scene built up from visual information would fulfil this requirement, something computer vision now achieves with great speed and accuracy. However, I argue that it is neither easy nor necessary for the brain to do this. I discuss biologically plausible alternatives, including the possibility of avoiding 3D coordinate frames such as ego-centric and world-based representations. For example, the distance, slant and local shape of surfaces dictate the propensity of visual features to move in the image with respect to one another as the observer’s perspective changes (through movement or binocular viewing). Such propensities can be stored without the need for 3D reference frames. The problem of representing a stable scene in the face of continual head and eye movements is an appropriate starting place for understanding the goal of 3D vision, more so, I argue, than the case of a static binocular observer.