Hand segmentation on depth images dataset

Main Author: Galmés, Bernat
Format: Dataset
Terbitan: Mendeley , 2020
Subjects:
Online Access: https:/data.mendeley.com/datasets/n3wgchr6nc
ctrlnum 0.17632-n3wgchr6nc.1
fullrecord <?xml version="1.0"?> <dc><creator>Galm&#xE9;s, Bernat</creator><title>Hand segmentation on depth images dataset</title><publisher>Mendeley</publisher><description>This dataset contain 5332 depth images, from a kinect v2 device, with a person appearing in all the scenes with the labels of its hands. It also contains the color information taked by the kinect mapped onto the depth image pixels. The images in the dataset has the 16 bit depth information splitted in the green and blue channels, in this order. And the red channel contains the hands masks. </description><subject>Machine Learning</subject><subject>Segmentation</subject><type>Other:Dataset</type><identifier>10.17632/n3wgchr6nc.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/n3wgchr6nc</relation><date>2020-01-29T14:48:05Z</date><recordID>0.17632-n3wgchr6nc.1</recordID></dc>
format Other:Dataset
Other
author Galmés, Bernat
title Hand segmentation on depth images dataset
publisher Mendeley
publishDate 2020
topic Machine Learning
Segmentation
url https:/data.mendeley.com/datasets/n3wgchr6nc
contents This dataset contain 5332 depth images, from a kinect v2 device, with a person appearing in all the scenes with the labels of its hands. It also contains the color information taked by the kinect mapped onto the depth image pixels. The images in the dataset has the 16 bit depth information splitted in the green and blue channels, in this order. And the red channel contains the hands masks.
id IOS7969.0.17632-n3wgchr6nc.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:32:39Z
last_indexed 2020-04-08T08:32:39Z
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