Individual 3D Face Modeling and Recognition in a Video Network.
详细信息   
  • 作者:Nguyen ; Hoang Thanh.
  • 学历:Doctor
  • 年:2012
  • 导师:Bhanu,Bir,eadvisorRavishankar,Chinyaecommittee memberRoy-Chowdhury,Amitecommittee memberBeni,Gerardoecommittee member
  • 毕业院校:University of California
  • Department:Computer Science.
  • ISBN:9781267729927
  • CBH:3543829
  • Country:USA
  • 语种:English
  • FileSize:46934437
  • Pages:131
文摘
Given an uncalibrated network of video cameras,we are tasked with the problem of building a 3D model of every person's face as they move within the network. The process of doing so requires overcoming many challenges including person detection,tracking,cross-camera correspondence (how to determine if a person in one camera is the same person in another),and the final 3D model reconstruction from multiple views in real-time or at near real-time speeds (efficient modeling and data fusion from multiple hardware sources). Towards this goal,a wireless camera network was designed and built from the ground up,a new tracking algorithm and a cross-camera human signature method was developed,and face modeling using multiple cameras in a real-world setting was performed.

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