Real-time haptic interaction with RGBD video streams

被引:0
|
作者
Shahzad Rasool
Alexei Sourin
机构
[1] Fraunhofer IDM @ NTU,
[2] Nanyang Technological University,undefined
[3] Nanyang Technological University,undefined
来源
The Visual Computer | 2016年 / 32卷
关键词
Image-driven haptic interaction; Tangible images; Tangible video; Kinect;
D O I
暂无
中图分类号
学科分类号
摘要
Video interaction is a common way of communication in cyberspace. It can become more immersive by incorporating haptic modality. Using commonly available depth sensing controllers like Microsoft Kinect, information about the depth of a scene can be captured in real-time together with the video. In this paper, we present a method for real-time haptic interaction with videos containing depth data. Forces are computed based on the depth information. Spatial and temporal filtering of the depth stream is used to provide stability of force feedback delivered to the haptic device. Fast collision detection ensures the proposed approach to be used in real-time. We present an analysis of various factors that affect algorithm performance. The usefulness of the approach is illustrated by highlighting possible application scenarios.
引用
收藏
页码:1311 / 1321
页数:10
相关论文
共 50 条
  • [1] Real-time haptic interaction with RGBD video streams
    Rasool, Shahzad
    Sourin, Alexei
    VISUAL COMPUTER, 2016, 32 (10): : 1311 - 1321
  • [2] Real-time Eye Detection in Video Streams
    Lin, Kunhui
    Huang, Jiyong
    Chen, Jiawei
    Zhou, Changle
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 6, PROCEEDINGS, 2008, : 193 - +
  • [3] Real-time video watermarking for MPEG streams
    Kang, KP
    Choi, YH
    Choi, TS
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVI, 2003, 5203 : 691 - 702
  • [4] Real-time video watermarking for MPEG streams
    Kang, KP
    Choi, YH
    Choi, TS
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 4, 2004, 3046 : 348 - 358
  • [5] Real-time detection of faces in video streams
    Castrillon-Santana, M
    Déniz-Suárez, O
    Guerra-Artal, C
    Hernández-Tejera, M
    2ND CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION, PROCEEDINGS, 2005, : 298 - 305
  • [6] Real-time RGBD SLAM System
    Czuprynski, Blazej
    Strupczewski, Adam
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2015, 2015, 9662
  • [7] A precomputed approach for real-time haptic interaction with fluids
    Dobashi, Yoshinori
    Yamamoto, Tsuyoshi
    Sato, Makoto
    Hasegawa, Shoichi
    Kato, Mitsuaki
    Nishita, Tomoyuki
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2007, 27 (03) : 90 - 92
  • [8] Real-time sports video analysis for video content viewing with haptic information
    Takahashi, Masaki
    Azuma, Makiko
    Handa, Takuya
    Ishiwatari, Taichi
    Sano, Masanori
    Yamanouchi, Yuko
    SIGGRAPH '21: ACM SIGGRAPH 2021 POSTERS, 2021,
  • [9] Haptic Interaction with Video Streams Containing Depth Data
    Rasool, Shahzad
    Sourin, Alexei
    2015 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW), 2015, : 173 - 180
  • [10] A Real-Time Feature Indexing System on Live Video Streams
    Chakraborty, Aditya
    Pawar, Akshay
    Jang, Hojoung
    Huang, Shunqiao
    Mishra, Sripath
    Chen, Shuo-Han
    Chang, Yuan-Hao
    Thiruvathukal, George K.
    Lu, Yung-Hsiang
    2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, : 42 - 50