PREDICTIVE POSITION DECODING

摘要

A method and apparatus for position decoding of three dimensional mesh models are described including predicting a symbol probability of a non-empty-child-cell Cl,k, where Cl,k denotes the kth cell at layer l, wherein the symbol probability is estimated based on an accuracy of a fitted plane P, decoding the non-empty-child-cell responsive to the received predicted probability of the non-empty-child-cell, subdividing the non-empty-child-cell, if the non-empty-child-cell has more than one vertex, determining if there are more unprocessed non-empty-child-cells at layer l, determining if a lowest layer of non-empty-child-cells has been reached, if there are no more unprocessed non-empty-child-cells at layer l and regenerating the three dimensional mesh model, if the lowest layer of non-empty-child-cells has been reached.

主权项

1. A method for position decoding of three dimensional mesh models, said method comprising:
predicting a symbol probability of a non-empty-child-cell Cl,k, where Cl,k denotes the kth cell at layer l, wherein the symbol probability is estimated based on an accuracy of a fitted plane P; decoding said non-empty-child-cell responsive to said predicted probability of said non-empty-child-cell; subdividing said non-empty-child-cell, if said non-empty-child-cell has more than one vertex; determining if there are more unprocessed non-empty-child-cells at layer l; determining if a lowest layer of non-empty-child-cells has been reached, if there are no more unprocessed non-empty-child-cells at layer l; and regenerating said three dimensional mesh model, if said lowest layer of non-empty-child-cells has been reached.