What can Computer Graphics expect from 3D Computer Vision?

Simple item page
dc.contributor.authorSara, Radimen_US
dc.date.accessioned2015-02-21T15:40:53Z
dc.date.available2015-02-21T15:40:53Z
dc.date.issued2007en_US
dc.description.abstractComputer Vision is a discipline whose ultimate goal is to interpret optical images of real scenes. It is well understood that such a problem is cursed by ambiguity of interpretation and uncertainty of evidence. Despite imperfectness of results due to the scenes never following our prior models exactly, Computer Vision has achieved a significant progress in the past two decades.This talk will outline the quest of 3D Computer Vision by describing a processing pipeline that receives a heap of unorganized images from unknown cameras and produces a consistent 3D geometric model together with camera calibrations. We will see how new algorithms allow the standard conception of the pipeline as a series of independent processing steps gradually transform to a single complex, yet efficient vision task. We will identify some points where linking Computer Vision and Computer Graphics would bring significant progress.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01045.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pagesxix-xixen_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2007.01045.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleWhat can Computer Graphics expect from 3D Computer Vision?en_US
Files
Collections
26-Issue 3