Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  contribute a new pipeline for live multi-view performance capture, generating temporally coherent high-quality reconstructions in real-time. Our algorithm supports both incremental reconstruction, improving the surface estimation over time, as ll as parameterizing the nonrigid scene motion. Our approach is highly robust to both large frame-to-frame motion and topology changes, allowing us to reconstruct extremely challenging scenes.  demonstrate advantages over related real-time techniques that either deform an online generated template or continually fuse depth data nonrigidly into a single reference model. Finally,  show geometric reconstruction results on par with offline methods which require orders of magnitude more processing time and many more RGBD cameras.
['Mingsong Dou', 'Sameh Khamis', 'Yury Degtyarev', 'Philip L. Davidson', 'Sean Ryan Fanello', 'Adarsh Kowdle', 'Sergio Orts Escolano', 'Christoph Rhemann', 'David Kim', 'Jonathan Taylor', 'Pushmeet Kohli', 'Vladimir Tankovich', 'Shahram Izadi']
I am writing a research paper on a idea Fusion4D: real-time performance capture of challenging scenes
[{"from": "human", "value": "I am writing a research paper on a idea Fusion4D: real-time performance capture of challenging scenes"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  contribute a new pipeline for live multi-view performance capture, generating temporally coherent high-quality reconstructions in real-time. Our algorithm supports both incremental reconstruction, improving the surface estimation over time, as ll as parameterizing the nonrigid scene motion. Our approach is highly robust to both large frame-to-frame motion and topology changes, allowing us to reconstruct extremely challenging scenes.  demonstrate advantages over related real-time techniques that either deform an online generated template or continually fuse depth data nonrigidly into a single reference model. Finally,  show geometric reconstruction results on par with offline methods which require orders of magnitude more processing time and many more RGBD cameras."}]