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1
Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor
In: Sensors ; Volume 20 ; Issue 2 (2020)
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2
Images and meshes for the BTx623 x IS3620C RIL population part "ae" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
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3
Images and meshes for the BTx623 x IS3620C RIL population part "aa" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
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4
Images and meshes for the BTx623 x IS3620C RIL population part "ac" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
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5
Images and meshes for the BTx623 x IS3620C RIL population part "af" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
Abstract: The file is part "af" of a set of 7 files (aa-af) corresponding to a compressed archive (.tar.gz) that has been split (using split). These will need to be concatenated (using cat) to restore the original archive (see http://wiki.datadryad.org/Large_File_Transfer). In the archive, each directory represents a timepoint, and each timepoint contains directories with images and a mesh corresponding to RIL lines from the BTx623 x IS3620C population. Each RIL has three replicates, and the suffix indicates the replicate number. ...
Keyword: 3D plant reconstruction; depth camera; imaging; longitudinal traits; phenotyping; quantitative trait loci; shoot architecture; Sorghum; Sorghum bicolor
URL: http://datadryad.org/resource/doi:10.5061/dryad.9vs26/6
https://dx.doi.org/10.5061/dryad.9vs26/6
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6
Images and meshes for the BTx623 x IS3620C RIL population part "ab" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
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7
Images and meshes for the BTx623 x IS3620C RIL population part "ad" ...
McCormick, Ryan F.; Truong, Sandra K.; Mullet, John E.. - : Dryad Digital Repository, 2016
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8
Beyond viewpoint: X3D camera nodes for digital cinematography
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9
P.: Beyond viewpoint: X3d camera nodes for digital cinematography
In: http://www.web3d.org/x3d/content/examples/Basic/development/BeyondViewpointCameraNodesWeb3D2009.pdf
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10
U.S. Army Night Vision and Electronic Sensors Directorate – Countermine Div.
In: http://eldertech.missouri.edu/files/Papers/GillT/A System for Change Detection and Human Recognition Voxel Space2.pdf
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