Keyframe-based modeling and tracking of multiple 3D objects

We propose a real-time solution for modeling and tracking multiple 3D objects in unknown environments. Our contribution is two-fold: First, we show how to scale with the number of objects. This is done by combining recent techniques for image retrieval and online Structure from Motion, which can be...

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Bibliographic Details
Published in2010 9th IEEE International Symposium on Mixed and Augmented Reality pp. 193 - 198
Main Authors Kiyoung Kim, Lepetit, V, Woontack Woo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
and Virtual Realities
Augmented
Cameras
Feature extraction
H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial
I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Shape
Image reconstruction
Solid modeling
Target tracking
Three dimensional displays
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ISBN9781424493432
1424493439
DOI10.1109/ISMAR.2010.5643569

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Summary:We propose a real-time solution for modeling and tracking multiple 3D objects in unknown environments. Our contribution is two-fold: First, we show how to scale with the number of objects. This is done by combining recent techniques for image retrieval and online Structure from Motion, which can be run in parallel. As a result, tracking 40 objects in 3D can be done within 6 to 25 milliseconds per frame, even under difficult conditions for tracking. Second, we propose a method to let the user add new objects very quickly. The user simply has to select in an image a 2D region lying on the object. A 3D primitive is then fitted to the features within this region, and adjusted to create the object 3D model. In practice, this procedure takes less than a minute.
ISBN:9781424493432
1424493439
DOI:10.1109/ISMAR.2010.5643569