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Real-time 3d human capture system for mixed-reality art and entertainment. contents:-. Abstract Index terms Introduction Hardware and system description Software components Magic land User study of the magic land system conclusion. ABSTRACT. INDEX TERMS. 3d view point
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Real-time 3d human capture system for mixed-reality art and entertainment
contents:- • Abstract • Index terms • Introduction • Hardware and system description • Software components • Magic land • User study of the magic land system • conclusion
INDEX TERMS • 3d view point • Mixed reality • tangible interaction • Art • Entertainment
Hardware system description • Hardware • System setup
SYSTEM SETUP • In order to generate the novel view of the subject from any angle/position of the virtual view point, the zoom level, position of each dragonfly camera must be adjusted . • The system is very sensitive to the cameras intrinsic and extrinsic parameters . • Visual hull construction alg. • Both the Unibrain camera attached to the HMD and the dragonfly cameras which capture the subject have to be calibrated. • Standard routines. • Standard routines from Intel’s OpenCV library. • Relative tranformation
SOFTWARE COMPONENTS • 1.Overview • 2.Image processing module • 3.Synchronization • 4.Results
IMAGE PROCESSING MODULE The image processing module processes the raw captured image in three steps: 1.Background subtraction. 2.Radial distortion compensation. 3.Image size reduction.
BACKGROUND SUBTRACTION • The result of visual hull construction in the rendering module largely depends on the output of the background subtraction step. • This is more crucial step to determine the quality of the final 3d model. • Simple statistical method. • Modified method. • Main purpose of this method. • The pixel properties calculated here are chromaticity and brightness, Which is obtained from a new model of pixel color. • Each pixel is divided into 4 types, they are
These modifications reduce the complexity of the formula and quite drastically increase the calculation speed ,but produce misclassified pixels than original alg.
FILTERING • Morphological operators.
DATA SIZE FOR REAL TIME NETWORK CONSTRAINTS • TO OPTIMIZE THE DATA WE CAN USE 2 METHODS. 1.Reducing the image size by only storing the smallest rectangular region containing the foreground objects. 2.Using Bayer format
USER STUDY OF THE MAGIC LAND SYSTEM • Aim of this study • Design and procedures • Results of this study • Conclusions of the user study