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Software creates entirely new views from existing video

Software creates entirely new views from existing video
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Forrester Cole , Richard Tucker , Zhengqi Li , Qianqian Wang , Noah Snavely , Patricia Waldron , Google Research , Cornell Anns Bowers College Of Computing , Cornell University , Cornell Tech , Cornell Ann , Neural Dynamic Image Based Rendering , Computer Vision , Pattern Recognition ,

Omnimatte: Associating Objects and Their Effects in Video


Omnimatte: Associating Objects and Their Effects in Video
We pose a novel problem: automatically associating subjects in videos with ‘effects’ related to them in the scene. Given an input video (top) and rough masks of subjects of interest (middle), our method estimates an
omnimatte – an alpha matte and foreground color that includes the subject itself along with all scene elements associated with it (bottom). The associated elements can be other objects attached to the subject or moving with it, or complex effects such as shadows, reflections, smoke, or ripples the subject creates in water.
Abstract
Computer vision is increasingly effective at segmenting objects in images and videos; however, scene effects related to the objects shadows, reflections, generated smoke, etc are typically overlooked. Identifying such scene effects and associating them with the objects producing them is important for improving our fundamental understanding of visual scenes, and ....

Forrester Cole , Erika Lu , Williamt Freeman , Michael Rubinstein , Weidi Xie , Andrew Zisserman , Associating Objects , Their Effects , Tali Dekel , Neural Rendering , Retiming People , David Salesin , மைக்கேல் ரூபின்ஸ்டீன் , அவர்களது விளைவுகள் , தாலி டேக்கில் , நரம்பியல் ரெண்டரிங் ,