Automatic acquisition of planar-faced virtual models.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F00%3A16000100" target="_blank" >RIV/67985556:_____/00:16000100 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/00:03023437
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Automatic acquisition of planar-faced virtual models.
Original language description
ROROROA new algorithm for fast automatic acquisition of virtual models of planar-faced textured objects from registered range and colour images is introduced. The algorithm consists of four main steps - range image segmentation, texture analysis, virtualmodel geometry inference and the texture synthesis step. An efficient and robust range image segmentation is based on the combination of range profile modelling and line-based region growing. The texture is modelled using our novel MRF based model.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA102%2F00%2F0030" target="_blank" >GA102/00/0030: Texture modelling</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 15th IAPR International Conference on Pattern Recognition.
ISBN
0-7695-0750-6
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
—
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
—
Event date
—
Type of event by nationality
—
UT code for WoS article
—