Grouping and Modeling of Repeated Imaged Scene Elements

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235481" target="_blank" >RIV/68407700:21230/15:00235481 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Grouping and Modeling of Repeated Imaged Scene Elements
Original language description
This proposal is to develop a robust method to group imaged repeated scene elements, infer semantic content from their groupings, e.g., complex repetitive patterns, and incorporate the rich structure and redundant information given by repetitive patternsinto scene models that are used for image retrieval, image geo- location and 3D reconstruction. A challenging testing dataset will be annotated and a loss function provided to assess the performance of new repeat grouping methods to compare against legacy approaches. Imaged repeated scene elements violate basic statistical independence assump- tions made by state-of-the-art approaches in image retrieval, geo-location, and 3D- reconstruction tasks. New models will be proposed that incorporate the repeated structure given by the proposed repeat grouping detection and repetitive pattern representation. The effect of explicitly accounting for repeated features will be demonstrated on standard datasets from the image retrieval and reconstru
Czech name
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Czech description
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Project
<a href="/en/project/LL1303" target="_blank" >LL1303: Large Scale Category Retrieval</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Number of pages
34
Place of publication
Praha
Publisher/client name
Center for Machine Perception, K13133 FEE Czech Technical University
Version
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