High-quality streamable free-viewpoint video
Author(s) -
Alvaro Collet,
Ming Chuang,
P. Sweeney,
D. Gillett,
Dennis Evseev,
David Calabrese,
Hugues Hoppe,
Adam G. Kirk,
Steve Sullivan
Publication year - 2015
Publication title -
acm transactions on graphics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.153
H-Index - 218
eISSN - 1557-7368
pISSN - 0730-0301
DOI - 10.1145/2766945
Subject(s) - computer science , computer vision , silhouette , artificial intelligence , robustness (evolution) , rgb color model , encoding (memory) , polygon mesh , multiview video coding , fidelity , point cloud , computer graphics (images) , video processing , video tracking , telecommunications , biochemistry , chemistry , gene
We present the first end-to-end solution to create high-quality free-viewpoint video encoded as a compact data stream. Our system records performances using a dense set of RGB and IR video cameras, generates dynamic textured surfaces, and compresses these to a streamable 3D video format. Four technical advances contribute to high fidelity and robustness: multimodal multi-view stereo fusing RGB, IR, and silhouette information; adaptive meshing guided by automatic detection of perceptually salient areas; mesh tracking to create temporally coherent subsequences; and encoding of tracked textured meshes as an MPEG video stream. Quantitative experiments demonstrate geometric accuracy, texture fidelity, and encoding efficiency. We release several datasets with calibrated inputs and processed results to foster future research.
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