UM
Kinect based 3D video generation
Zhang L.1; Lan J.1; Yin H.1; Luo G.2; Zhu Y.2
2016
Source PublicationProceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
Pages278-282
AbstractThis paper presents a new approach on 2D to 3D video automatic conversion based on Kinect. There are mainly two contributions in our approach. First, the depth maps captured by Kinect are usually of poor quality. There are a lot of depth information missing regions. An improved energy function based Inpainting algorithm is proposed, which can help to recover the missed depth information smoothly. Then a new hole filling approach in depth image based rendering (DIBR) is proposed to synthesize the 3D images by using the corresponding color images and the repaired depth maps. Experiments are conducted on videos in different scenes. The results show the effectiveness in both the quality and the running time.
Keyword2D to 3D video conversion Depth image based rendering (DIBR) Depth map Kinect
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Universidade de Macau
2.Peking University
Recommended Citation
GB/T 7714
Zhang L.,Lan J.,Yin H.,et al. Kinect based 3D video generation[C],2016:278-282.
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