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https://dx.doi.org/10.4230/dag...
Article . 2008
License: CC BY
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Conference object . 2018
Data sources: DBLP
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Conference object . 2007
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07171 Summary – Visual Computing – Convergence of Computer Graphics and Computer Vision

Authors: Gross, Markus; Müller, Heinrich; Seidel, Hans-Peter; Shum, Harry;

07171 Summary – Visual Computing – Convergence of Computer Graphics and Computer Vision

Abstract

Due to the importance of visual information for humans, visual computing is at the very core of the technologies enabling the modern information society. New and emerging technologies such as multimedia, digital television, telecommunication and telepresence, or virtual reality further indicate the tremendous potential of visual interaction with computers in the years to come. Typical for the field is the coincidence of very large data sets with the demand for fast, if possible interactive, user-adapted high quality visual display of the results. Furthermore, the user should be able to interact with the environment in a natural and intuitive way. In order to address the challenges mentioned above, a new and more integrated scientific view of Visual Computing is required that unifies the previously separate ''visual'' disciplines of computer graphics and computer vision. Computer graphics is traditionally concerned with generating visual interfaces of computers and applications to the user. Computer vision focuses on enabling computers to understand and interpret visual information from static images and video sequences.

Country
Germany
Keywords

computation, perception-guided modeling and rendering, motion) from images, 3D acquisition and display, capturing reality (appearance, Image- and video-based modeling and rendering, 3D reconstruction, scattering and reflectance measurement rendering, texture synthesis, 004, image and model compression, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green