Semi-automatic interactive modeling for model-based camera tracking

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0

초록

Object modeling is an important task as a pre-processing of model-based camera tracking. In this paper, we present a semi-automatic interactive modeling method to create 3D object models with simple primitives such as points and lines. Our approach is based on feature-based modeling that uses 3D point clouds of target scenes. Instead of using graphic modeling tools, the modeling is intuitively performed by user participation in video sequences. Finally, we analyze sensitivity of camera tracking according to modeling errors using Cramer-Rao Lower Bound.

키워드

Camera trackingError analysisModel-based trackingObject modeling3D object3D point cloudCamera trackingCramer Rao lower boundFeature based modelingInteractive modelingModel-based camera trackingModel-based trackingModeling errorsModeling toolObject modelingPre-processingSemi-automaticsTarget scenesUser participationVideo sequencesCamerasCramer-Rao boundsError analysisThree dimensional computer graphicsTracking (position)Three dimensional
제목
Semi-automatic interactive modeling for model-based camera tracking
저자
Rhee, Eun JooKim, KangsooSeo, Byung-KukPark, Jong-Il
DOI
10.1109/ICNIDC.2012.6418788
발행일
2012-09
유형
Conference Paper
저널명
Proceedings - 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2012
페이지
425 ~ 428