| 4 | 1/1 | 返回列表 |
| 查看: 587 | 回復(fù): 3 | |||
[求助]
哪位好心人幫我查下這篇文章EI檢索結(jié)果啊 已有1人參與
|
| Personalized full-body reconstruction based on single kinect |
| 祝福 |
鐵桿木蟲 (正式寫手)
|
Accession number: 20162002391638 Title: Personalized full-body reconstruction based on single kinect Authors: Pang, Hao1; Li, Jiping1 Email author li-jiping@163.com; Peng, Jianjun1; Zhong, Xin1; Cai, Xiangyue1 Author affiliation: 1 School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China Corresponding author: Li, Jiping (li-jiping@163.com) Source title: Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 Abbreviated source title: Proc. - Int. Congr. Image Signal Process., CISP Monograph title: Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015 Issue date: February 16, 2016 Publication year: 2015 Pages: 979-983 Article number: 7408021 Language: English ISBN-13: 9781467390989 Document type: Conference article (CA) Conference name: 8th International Congress on Image and Signal Processing, CISP 2015 Conference date: October 14, 2015 - October 16, 2015 Conference location: Shenyang, China Conference code: 119464 Publisher: Institute of Electrical and Electronics Engineers Inc. Abstract: To build 3D personalized human body geometry in virtual scenes, this paper presents a full human body reconstruction method based on single Kinect. This method captures three top-down human point clouds firstly and uses ICP to find the corresponding points between the point clouds. A personalized full human body point cloud is generated after point cloud fusion and down-sampling. Finally, the 3D human geometry is constructed by triangulation. The experimental results demonstrate the method feasibility. © 2015 IEEE. Number of references: 22 Main heading: Signal processing Controlled terms: Image processing - Signal sampling - Virtual reality Uncontrolled terms: 3-d modeling - Down sampling - Human bodies - Kinect - registration Classification code: 716.1 Information Theory and Signal Processing - 723 Computer Software, Data Handling and Applications - 922 Statistical Methods DOI: 10.1109/CISP.2015.7408021 Database: Compendex Compilation and indexing terms, © 2016 Elsevier Inc. 是這個(gè)嗎? |
| 4 | 1/1 | 返回列表 |
| 最具人氣熱帖推薦 [查看全部] | 作者 | 回/看 | 最后發(fā)表 | |
|---|---|---|---|---|
|
[考研] 求調(diào)劑,一志愿 南京航空航天大學(xué) ,080500材料科學(xué)與工程學(xué)碩,總分289分 +7 | @taotao 2026-03-29 | 7/350 |
|
|---|---|---|---|---|
|
[考研] 086000生物與醫(yī)藥調(diào)劑 +5 | Feisty。 2026-03-28 | 9/450 |
|
|
[考研] 一志愿北京化工大學(xué)材料與化工(085600)296求調(diào)劑 +13 | 稻妻小編 2026-03-26 | 13/650 |
|
|
[考研] 085701求調(diào)劑初試286分 +4 | secret0328 2026-03-28 | 4/200 |
|
|
[考研] 本科新能源科學(xué)與工程,一志愿華理能動285求調(diào)劑 +7 | AZMK 2026-03-28 | 11/550 |
|
|
[考研] 295材料工程專碩求調(diào)劑 +7 | 1428151015 2026-03-27 | 7/350 |
|
|
[考研] 化學(xué)0703 調(diào)劑 306分 一志愿211 +4 | 26要上岸 2026-03-28 | 4/200 |
|
|
[考研] 304求調(diào)劑 +6 | 曼殊2266 2026-03-27 | 6/300 |
|
|
[考研] 求化學(xué)調(diào)劑 +4 | wulanna 2026-03-28 | 4/200 |
|
|
[考研] 材料求調(diào)劑 一志愿哈工大總分298分,前三科223分 +5 | dongfang59 2026-03-27 | 5/250 |
|
|
[考研] 340求調(diào)劑 +5 | jhx777 2026-03-27 | 5/250 |
|
|
[考研] 331環(huán)境科學(xué)與工程求調(diào)劑 +3 | 熠然好運(yùn)氣 2026-03-27 | 3/150 |
|
|
[考研] 考研化學(xué)308分求調(diào)劑 +10 | 你好明天你好 2026-03-23 | 12/600 |
|
|
[考研] 化學(xué)308分求調(diào)劑 +8 | 你好明天你好 2026-03-23 | 9/450 |
|
|
[考研] 314求調(diào)劑 +3 | 溪云珂 2026-03-26 | 3/150 |
|
|
[考研] 化學(xué)工程085602 305分求調(diào)劑 +17 | RichLi_ 2026-03-25 | 17/850 |
|
|
[考研] 一志愿天津大學(xué)339材料與化工求調(diào)劑 +3 | 江往賣魚 2026-03-26 | 3/150 |
|
|
[考研] 求調(diào)劑 +6 | 研研,接電話 2026-03-24 | 7/350 |
|
|
[考研] 344求調(diào)劑 +3 | desto 2026-03-24 | 3/150 |
|
|
[考研] 一志愿重慶大學(xué)085700資源與環(huán)境,總分308求調(diào)劑 +7 | 墨墨漠 2026-03-23 | 8/400 |
|