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Published in 2019 at "Machine Vision and Applications"
DOI: 10.1007/s00138-019-01036-6
Abstract: AbstractRobust wide baseline pose estimation is an essential step in the deployment of smart camera networks. In this work, we highlight some current limitations of conventional strategies for relative pose estimation in difficult urban scenes.…
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Keywords:
estimation;
uncertainty;
pose estimation;
wide baseline ... See more keywords
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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2734567
Abstract: We consider the synthesis of intermediate views of an object captured by two widely spaced and calibrated cameras. This problem is challenging because foreshortening effects and occlusions induce significant differences between the reference images when…
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Keywords:
shape;
intermediate views;
baseline foreground;
foreground object ... See more keywords
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Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3051761
Abstract: Existing traditional and ConvNet-based methods for light field depth estimation mainly work on the narrow-baseline scenario. This paper explores the feasibility and capability of ConvNets to estimate depth in another promising scenario: wide-baseline light fields.…
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Keywords:
depth;
wide baseline;
baseline light;
light fields ... See more keywords
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Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3202513
Abstract: Traditional hand-held light field cameras only observe a small fraction of the cone of light emitted by a scene point. As a consequence, the study of interesting angular effects like iridescence are beyond the scope…
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Keywords:
cone;
light;
baseline light;
cone light ... See more keywords