Efficient multiview depth representation based on image segmentation

被引:0
|
作者
De Raffaele, Clifford [1 ]
Camilleri, Kenneth P. [1 ]
Debono, Carl J. [2 ]
Farrugia, Reuben A. [2 ]
机构
[1] Univ Malta, Dept Syst & Control Engn, Msida, Malta
[2] Univ Malta, Dept Commun & Comp Engn, Msida, Malta
关键词
3D scene processing; depth-map representation; multiview images; segmentation-based coding;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The persistent improvements witnessed in multimedia production have considerably augmented users demand for immersive 3D systems. Expedient implementation of this technology however, entails the need for significant reduction in the amount of information required for representation. Depth image-based rendering algorithms have considerably reduced the number of images necessary for 3D scene reconstruction, nevertheless the compression of depth maps still poses several challenges due to the peculiar nature of the data. To this end, this paper proposes a novel depth representation methodology that exploits the intrinsic correlation present between colour intensity and depth images of a natural scene. A segmentation-based approach is implemented which decreases the amount of information necessary for transmission by a factor of 24 with respect to conventional JPEG algorithms whilst maintaining a quasi identical reconstruction quality of the 3D views.
引用
收藏
页码:65 / 68
页数:4
相关论文
共 50 条
  • [21] Depth Discontinuity-Based Cup Segmentation From Multiview Color Retinal Images
    Joshi, Gopal Datt
    Sivaswamy, Jayanthi
    Krishnadas, S. R.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (06) : 1523 - 1531
  • [22] EFFICIENT IMAGE RESAMPLING FOR MULTIVIEW DISPLAYS
    Schaffner, Michael
    Greisen, Pierre
    Heinzle, Simon
    Smolic, Aljoscha
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 2252 - 2256
  • [23] Mechanical Assembly Monitoring Method Based on Depth Image Multiview Change Detection
    Chen, Chengjun
    Li, Changzhi
    Li, Dongnian
    Zhao, Zhengxu
    Hong, Jun
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [24] Mechanical Assembly Monitoring Method Based on Depth Image Multiview Change Detection
    Chen, Chengjun
    Li, Changzhi
    Li, Dongnian
    Zhao, Zhengxu
    Hong, Jun
    IEEE Transactions on Instrumentation and Measurement, 2021, 70
  • [25] EFFICIENT COST VOLUME SAMPLING FOR PLANE SWEEPING BASED MULTIVIEW DEPTH ESTIMATION
    Suominen, Olli
    Gotchev, Atanas
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 1075 - 1079
  • [26] Efficient multiview depth video coding using depth synthesis prediction
    Lee, Cheon
    Choi, Byeongho
    Ho, Yo-Sung
    OPTICAL ENGINEERING, 2011, 50 (07)
  • [27] Block-Based Depth Maps Interpolation for Efficient Multiview Content Generation
    Wang, Hung-Ming
    Huang, Chun-Hao
    Yang, Jar-Ferr
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 21 (12) : 1847 - 1858
  • [28] DENSE DEPTH RECOVERY BASED ON ADAPTIVE IMAGE SEGMENTATION
    Liang, Shangli
    Yuan, Chun
    2013 IEEE International Conference on Consumer Electronics - China (ICCE-China), 2013, : 34 - 38
  • [29] DSLIC: A Superpixel Based Segmentation Algorithm for Depth Image
    Agoes, Ali Suryaperdana
    Hu, Zhencheng
    Matsunaga, Nobutomo
    COMPUTER VISION - ACCV 2016 WORKSHOPS, PT II, 2017, 10117 : 77 - 87
  • [30] Polarization Image Enhancement Based on Depth Image Segmentation in Haze Weather
    Wang Yong
    Liu Qi
    Han Yu-sheng
    AOPC 2017: OPTICAL SENSING AND IMAGING TECHNOLOGY AND APPLICATIONS, 2017, 10462