Title:
Physically Accurate Synthetic Images for Computer Vision System Design

dc.contributor.author Rushmeier, Holly E.
dc.contributor.author Parker, Johne' Michelle
dc.contributor.author Lee, Kok-Meng
dc.date.accessioned 2004-12-07T18:44:19Z
dc.date.available 2004-12-07T18:44:19Z
dc.date.issued 1991
dc.description.abstract The design of a computer vision system for part presentation is a complex hardware/software problem. In the past, standard renderings of parts available from CAD systems have been used as aids in the design process. However, such standard renderings are very limited because of the simple illumination models they employ. We present preliminary results of a study of the utility of physically accurate synthetic images in the design of vision systems. Physically accurate images can potentially be used both for the hardware lighting and sensing design, as well as for template design for model-based matching for part location. We describe how state-of-the-art computer graphics global illumination algorithms can be used to generate images for the vision problem. We present a comparison of a variety of synthetic images to images captured using the GRIPPS retroreflective vision system under development at Georgia Tech. en
dc.format.extent 2313512 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3720
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-91-25
dc.subject Computer graphics en
dc.subject Computer vision en
dc.subject Global illumination en
dc.subject Part presentation en
dc.subject Retroreflection en
dc.subject Synthetic image generation en
dc.title Physically Accurate Synthetic Images for Computer Vision System Design en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Lee, Kok-Meng
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication 08db58e1-f73e-4696-8556-a81b1bf99e81
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
91-25.pdf
Size:
2.21 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.86 KB
Format:
Item-specific license agreed upon to submission
Description: