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IEEE Transactions on Visualization and Computer Graphics, 2009
We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators.
PUPPO, ENRICO, D. PANOZZO
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We introduce the RGB Subdivision: an adaptive subdivision scheme for triangle meshes, which is based on the iterative application of local refinement and coarsening operators, and generates the same limit surface of the Loop subdivision, independently on the order of application of local operators.
PUPPO, ENRICO, D. PANOZZO
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2018
?????????????????????? ???????????????? ???????????????????????????? ???????????????? ???????????????????????? RGB-?????????????? ?????? ????????????, ?????????????????????? ?????????????????? ??????????????, ?????????????????? ?????????????????????????????? ???????????????? ??????????????????????. ??????????????????????, ?????? ???????????????????? ???
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?????????????????????? ???????????????? ???????????????????????????? ???????????????? ???????????????????????? RGB-?????????????? ?????? ????????????, ?????????????????????? ?????????????????? ??????????????, ?????????????????? ?????????????????????????????? ???????????????? ??????????????????????. ??????????????????????, ?????? ???????????????????? ???
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From RGB-D Images to RGB Images
ACM Transactions on Intelligent Systems and Technology, 2015Mining object-level knowledge, that is, building a comprehensive category model base, from a large set of cluttered scenes presents a considerable challenge to the field of artificial intelligence. How to initiate model learning with the least human supervision (i.e., manual labeling) and how to encode the structural knowledge are two elements of this ...
Quanshi Zhang +4 more
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Child Action Recognition in RGB and RGB-D Data
Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020The paper presents an ongoing work that aims for real-time action recognition specifically tailored for child-centered research. To this end, we collected and annotated a dataset of 200 primary school children aged 6 to 11 years old. Each child was asked to perform seven actions: boxing, waving, clapping, running, jogging, walking towards the camera ...
Aizada Turarova +4 more
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