Inny tytuł:

Raport Badawczy = Research Report ; RB/23/2017

Wydawca:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Miejsce wydania:

Warszawa

Opis:

60 pages ; 21 cm ; Bibliography p. 48-57

Abstrakt:

In this paper, a new method for detection and pose estimation of multiple nonrigid and robotic tools in surgical videos was introduced. The method uses a rigidly structured, bipartite model of end-effector and shaft parts that consistently encode diverse, pose-specific appearance mixtures of the tool. This rigid part mixtures model then jointly explains the evolving tool structure by switching between mixture components.The effective procedure for learning such rigid mixtures from videos and for pooling the modeled shaft part that undergoes frequent truncation at the border of the imaged scene is proposed. Experiments further illustrate that estimation of end-effector pose improves upon including the shaft part in the model.

Czasopismo/Seria/cykl:

Raport Badawczy = Research Report

Szczegółowy typ zasobu:

Report

Identyfikator zasobu:

oai:rcin.org.pl:144865

Źródło:

RB-2017-23

Język:

eng

Język streszczenia:

eng

Prawa:

Creative Commons Attribution BY 4.0 license

Zasady wykorzystania:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitalizacja:

Systems Research Institute of the Polish Academy of Sciences

Lokalizacja oryginału:

Library of Systems Research Institute PAS

Dofinansowane ze środków:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Dostęp:

Open