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Efficient Multi-viewpoint Acquisition of 3D Objects Undergoing Repetitive Motions
 

Summary: Efficient Multi-viewpoint Acquisition of 3D Objects
Undergoing Repetitive Motions
Yi Xu*
Daniel G. Aliaga
Purdue University Purdue University
Abstract
Computer graphics applications such as movie effects, video
gaming, and product demonstration demand 3D models of
dynamic objects. For this purpose, numerous methods, such as
light fields, stereo reconstruction and visual hulls have been
extended to model dynamic objects. These methods use multiple
cameras to acquire images simultaneously and use the
synchronized samples to reconstruct the model for each time
instance. However, a large number of cameras are required to
obtain compelling results. We introduce an efficient acquisition
and modeling schema for dynamic objects with repetitive
motions. Our method requires as few as two cameras. The key
idea is that repetitive motions can be described by a finite number
of states. Images capturing the same state can be grouped together
and fed to the later modeling phase as if they are captured from

  

Source: Aliaga, Daniel G. - Department of Computer Sciences, Purdue University

 

Collections: Computer Technologies and Information Sciences