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

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.