양방향 사진트리 기반 변이 추정을 이용한 중간 시점 영상 합성

IVS using disparity estimation based on bidirectional quadtree

The correspondence problem for stereo image matching plays an important role in expanding view points as multi view video applications become more popular. The conventional disparity estimation algorithms have limitation to find exact disparities because they consider not image features but similiar intensity points. Thus we propose an efficient disparity estimation algorithm considering features of stereo image pairs. As simulation results, our proposed method confirms better intermediate views than the existing block-matching methods.