Interactive modelling for AR applications

We present a method for estimating the 3D shape of an object from a sequence of images captured by a hand-held device. The method is well suited to augmented reality applications in that minimal user interaction is required, and the models generated are of an appropriate form. The method proceeds by...

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Vydané v:2010 9th IEEE International Symposium on Mixed and Augmented Reality s. 199 - 205
Hlavní autori: Bastian, J, Ward, B, Hill, R, van den Hengel, A, Dick, A
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.10.2010
Predmet:
and virtual realities
augmented
Cameras
H.5.1 [Information Interfaces and Presentation]: Multimedia Information Systems-Artificial
I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel classification
I.4.8 [Image Processing and Computer Vision]: Scene Analysis-Shape
Image color analysis
Image segmentation
Pixel
Shape
Solid modeling
Three dimensional displays
ISBN:9781424493432, 1424493439
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Shrnutí:We present a method for estimating the 3D shape of an object from a sequence of images captured by a hand-held device. The method is well suited to augmented reality applications in that minimal user interaction is required, and the models generated are of an appropriate form. The method proceeds by segmenting the object in every image as it is captured and using the calculated silhouette to update the current shape estimate. In contrast to previous silhouette-based modelling approaches, however, the segmentation process is informed by a 3D prior based on the previous shape estimate. A voting scheme is also introduced in order to compensate for the inevitable noise in the camera position estimates. The combination of the voting scheme with the closed-loop segmentation process provides a robust and flexible shape estimation method. We demonstrate the approach on a number of scenes where segmentation without a 3D prior would be challenging.
ISBN:9781424493432
1424493439
DOI:10.1109/ISMAR.2010.5643570