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GTC ON-DEMAND

Computer Vision
Presentation
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Massively Accelerating Iterative Gauss-Newton Fitting
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Abstract:
To measure three-dimensional shape data of objects, we build up a measurement system that assigns three-dimensional coordinates to the position of projected measurement labels in a camera image. To achieve high measurement accuracy across high amounts of measurement points, we need a very quick routine to localize measurement labels with high precision. To speed up the computation, we evaluate the fits using the CUDA architecture. The final implementation speeds up the fitting of 104 two-dimensional Gauss functions by a factor of 90.
 
Topics:
Computer Vision, Stereoscopic 3D
Type:
Talk
Event:
GTC Silicon Valley
Year:
2010
Session ID:
S102065
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