• Title/Summary/Keyword: video editing/compositing

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Study on Compositing Editing of 360˚ VR Actual Video and 3D Computer Graphic Video (360˚ VR 실사 영상과 3D Computer Graphic 영상 합성 편집에 관한 연구)

  • Lee, Lang-Goo;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.17 no.4
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    • pp.255-260
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    • 2019
  • This study is about an efficient synthesis of $360^{\circ}$ video and 3D graphics. First, the video image filmed by a binocular integral type $360^{\circ}$ camera was stitched, and location values of the camera and objects were extracted. And the data of extracted location values were moved to the 3D program to create 3D objects, and the methods for natural compositing was researched. As a result, as the method for natural compositing of $360^{\circ}$ video image and 3D graphics, rendering factors and rendering method were derived. First, as for rendering factors, there were 3D objects' location and quality of material, lighting and shadow. Second, as for rendering method, actual video based rendering method's necessity was found. Providing the method for natural compositing of $360^{\circ}$ video image and 3D graphics through this study process and results is expected to be helpful for research and production of $360^{\circ}$ video image and VR video contents.

Feature-Based Light and Shadow Estimation for Video Compositing and Editing (동영상 합성 및 편집을 위한 특징점 기반 조명 및 그림자 추정)

  • Hwang, Gyu-Hyun;Park, Sang-Hun
    • Journal of the Korea Computer Graphics Society
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    • v.18 no.1
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    • pp.1-9
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    • 2012
  • Video-based modeling / rendering developed to produce photo-realistic video contents have been one of the important research topics in computer graphics and computer visions. To smoothly combine original input video clips and 3D graphic models, geometrical information of light sources and cameras used to capture a scene in the real world is essentially required. In this paper, we present a simple technique to estimate the position and orientation of an optimal light source from the topology of objects and the silhouettes of shadows appeared in the original video clips. The technique supports functions to generate well matched shadows as well as to render the inserted models by applying the estimated light sources. Shadows are known as an important visual cue that empirically indicates the relative location of objects in the 3D space. Thus our method can enhance realism in the final composed videos through the proposed shadow generation and rendering algorithms in real-time.