Paper Info
Title
3D Head Reconstruction Using Multi-camera Stream.
Abstract
Given information from many cameras, one can hope to get a complete 3D representation of an object. Pintavirooj and Sangworasil exploit this idea and present a system that records sequentially images from multiple view points to reconstruct a 3D shape of a static object of interest [1]. For instance, using a 60 angle of view on the image, they manage to get its accurate 3D reconstruction [1]. Unfortunately, when considering application such as video surveillance, it is not reasonable to expect that 60 cameras will give simultaneous images of a person of interest. However, we can expect that the person will move over time and show sequentially different poses of her/his head to at least one or a few cameras. This article proposes a technique for recovering an accurate 3D shape by combining views recorded at different times.
Year
DOI
Venue
2009
10.1109/IMVIP.2009.35
IMVIP
Keywords
Field
DocType
multi-camera stream,different time,head reconstruction,records sequentially image,simultaneous image,static object,multiple view point,video surveillance,image reconstruction,face,shape,3d reconstruction,face recognition,solid modeling
Iterative reconstruction,Computer vision,Facial recognition system,Multi camera,Computer graphics (images),Computer science,Image representation,Exploit,Solid modeling,Artificial intelligence,Angle of view,3D reconstruction
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
2
Name
Order
Citations
PageRank
Donghoon Kim1518.42
Rozenn Dahyot234032.62