“Network Transmission of Human Face Data and 3D Reconstruction Considering Image Data Reduction”

Hajime Sato, Jun Ohya, Nobuyoshi Terashima

    Research output: Contribution to journalArticlepeer-review


    A method for enabling efficient facial data transmission over the communication network and reconstructing realistic 3D face images is proposed. A conventional method which combines the advantages of the model-based and image-based approaches to reconstruct 3D facial images with high efficiency and precision on a standalone environment is extensively used. In our approach, the face image recognition part and the 3D image reconstruction part, which were conventionally carried out on the same PC, are separated and implemented on two network-connected PCs. Also, by using JPEG compression, the size of image data transmitted over the network is reduced. Our method was implemented on network-connected PCs, and its effectiveness was confirmed. Subjective tests showed that image data could be reduced to around 6% of its original size.

    Original languageEnglish
    Pages (from-to)539-547
    Number of pages9
    JournalJournal of the Institute of Image Electronics Engineers of Japan
    Issue number5
    Publication statusPublished - 2005


    • Data reduction
    • Image reconstruction
    • JPEG compression
    • Network transmission
    • Video image processing

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Electrical and Electronic Engineering


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