Generating 3D architectural models based on hand motion and gesture

被引：11

作者：

Yi, Xiao ^{[2
]}

Qin, Shengfeng ^{[1
]}

Kang, Jinsheng ^{[1
]}

机构：

[1] Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England

[2] Beijing Jiaotong Univ, Sch Civil Engn & Architecture, Beijing 100044, Peoples R China

来源：

COMPUTERS IN INDUSTRY | 2009年 / 60卷 / 09期

关键词：

Motion capture; Architecture model; Hand gesture; Sign language; Conceptual design; TRACKING;

D O I：

10.1016/j.compind.2009.05.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a novel method for rapidly generating 3D architectural models based on hand motion and design gestures captured by a motion capture system. A set of sign language-based gestures, architectural hand signs (AHS), has been developed. AHS is performed on the left hand to define various "components of architecture", while "location, size and shape" information is defined by the motion of Marker-Pen on the right hand. The hand gestures and motions are recognized by the system and then transferred into 3D curves and surfaces correspondingly. This paper demonstrates the hand gesture-aided architectural modeling method with some case studies. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：677 / 685

页数：9

共 50 条

[31] Hand Gesture Recognition with 3D Convolutional Neural Networks
Molchanov, Pavlo
Gupta, Shalini
Kim, Kihwan
Kautz, Jan
[J]. 2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2015,
[32] 3D Hand Gesture Recognition from One Example
Sohn, Myoung-Kyu
Lee, Sang-Heon
Kim, Dong-Ju
Kim, Byungmin
Kim, Hyunduk
[J]. 2013 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2013, : 171 - 172
[33] 3D Hand Gesture Recognition using the Hough Transform
Oprisescu, Serban
Barth, Erhardt
[J]. ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2013, 13 (03) : 71 - 76
[34] Stereo Vision-based Hand Gesture Recognition under 3D Environment
Laskar, Mohidul Alam
Das, Amlan Jyoti
Talukdar, Anjan Kumar
Sarma, Kandarpa Kumar
[J]. SECOND INTERNATIONAL SYMPOSIUM ON COMPUTER VISION AND THE INTERNET (VISIONNET'15), 2015, 58 : 194 - 201
[35] 3D Printed Data Glove Design for VR Based Hand Gesture Recognition
Oqua, Oqua Ika
Chen, Junshen
Annamalai, Andy
Yang, Chenguang
[J]. 2018 11TH INTERNATIONAL WORKSHOP ON HUMAN FRIENDLY ROBOTICS (HFR), 2018, : 66 - 71
[36] Real-time 3D Hand Gesture Based Mobile Interaction Interface
Che, Yunlong
Song, Yuxiang
Qi, Yue
[J]. ADJUNCT PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2019), 2019, : 228 - 232
[37] Immersive Virtual 3D Environment based on 499 fps Hand Gesture Interface
Alvissalim, Muhammad Sakti
Yasui, Masahiko
Watanabe, Chihiro
Ishikawa, Masatoshi
[J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2014, : 7 - 12
[38] Proceduralization for Editing 3D Architectural Models
Demir, Ilke
Aliaga, Daniel G.
Benes, Bedrich
[J]. PROCEEDINGS OF 2016 FOURTH INTERNATIONAL CONFERENCE ON 3D VISION (3DV), 2016, : 194 - 202
[39] Reconstruction of 3D Building Models Based on Architectural Construction Drawings
Liang, Ming
Hu, Zui
[J]. INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 1349 - 1355
[40] Dynamic Hand Gesture Recognition Based on 3D Hand Pose Estimation for Human-Robot Interaction
Gao, Qing
Chen, Yongquan
Ju, Zhaojie
Liang, Yi
[J]. IEEE SENSORS JOURNAL, 2022, 22 (18) : 17421 - 17430

← 1 2 3 4 5 →