2D-to-3D Conversion Based on Motion and Color Mergence
作者： Feng Xu , Guihua Er , Xudong Xie , Qionghai Dai
DOI: 10.1109/3DTV.2008.4547844
关键词: Computer vision 、 Feature extraction 、 Computer science 、 Artificial intelligence 、 Motion estimation 、 Contextual image classification 、 Image segmentation 、 Optical flow 、 2D to 3D conversion 、 Frame (networking) 、 Motion analysis
摘要: In this paper, we present an efficient scheme to synthesize stereoscopic video from monoscopic video. We use the improved optical flow method extract pixel-level motion for each frame. By considering intensity of estimated motion, can classify moving objects. Then, achieve more accurate classification, combine color information in frame using derives minimum discrimination (MDI) principle. Finally, constraints-involved flood-fill is developed segment and assign depth values different segmented regions. The experimental results show that our achieves good performances on both segmentation determination.
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