Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
20
click to vote
CGA
2004
favorite
Email
discuss
report
72
views
Computational Geometry
»
more
CGA 2004
»
Scape: Supporting Stereoscopic Collaboration in Augmented and Projective Environments
13 years 8 months ago
Download
3dvis.optics.arizona.edu
Hong Hua, Leonard D. Brown, Chunyu Gao
Real-time Traffic
CGA 2004
|
Computational Geometry
|
claim paper
Related Content
»
User evaluations on form factors of tangible magic lenses
»
Supporting Collaboration Ubiquitously An Augmented Learning Environment for Architecture S...
»
Supporting Collaborative Activities in Computer Integrated Classroomsthe NIMIS Approach
»
Remote HandsOn Experience Distributed Collaboration with Augmented Reality
»
Video card game an augmented environment for user centred design discussions
»
iBistro A Learning Environment for Knowledge Construction in Distributed Software Engineer...
»
Collaboration in the Semantic Grid A Basis for ELearning
»
IGameFloor a platform for colocated collaborative games
»
CIMA Based Remote Instrument and Data Access An Extension into the Australian eScience Env...
more »
Post Info
More Details (n/a)
Added
16 Dec 2010
Updated
16 Dec 2010
Type
Journal
Year
2004
Where
CGA
Authors
Hong Hua, Leonard D. Brown, Chunyu Gao
Comments
(0)
Researcher Info
Computational Geometry Study Group
Computer Vision