Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03091297" target="_blank" >RIV/68407700:21230/03:03091297 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Epipolar Plane Images as a Tool to Seek Correspondences in a Dense Sequence
Original language description
We present a method seeking correspondences in a dense rectified image sequence, considered as a set of Epipolar Plane Images (EPI). The main idea is to employ dense sequence to get more information which could guide the correspondence algorithm. The method is intensity based, no features are detected. Our spatio-temporal volume analysis approach aims at accuracy and density of the correspondences. Two cost functions are used, quantifying the belief that given correspondence candidate is correct. The first one is based on projections of one scene point to the spatio-temporal data, while the second one uses two-dimensional neighborhood (in image plane) around such projections. The assumed opaque Lambertian surface without occlusions allows us to use a simple correspondence seeking algorithm based on minimization of a global criterion using dynamic programming.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F03%2F0440" target="_blank" >GA102/03/0440: Recognizing human activities for automated video surveillance</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CAIP 2003: Computer Analysis of Images and Patterns
ISBN
3-540-40730-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
74-81
Publisher name
Springer
Place of publication
Berlin
Event location
Groningen
Event date
Aug 25, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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