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Real Time High Speed Measurement of Photogrammetric Targets

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Pattern Recognition (DAGM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3175))

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Abstract

A pipelined parallel highspeed image processor implementation in an FPGA for applications in close range photogrammetry is described. The bottleneck of high speed photogrammetry is the accurate sub-pixel measurement of retro-reflective targets. We use an enhanced sobel edge detector and a special filling algorithm to compute the segmentation of the targets. The segmented regions are labeled and the weighted center of gravity is computed for each region.

The incoming image data is processed in realtime. To achieve a high throughput the pixel based processing is done for ten image columns simultaneously. A total throughput of over 660 million pixels per second has been demonstrated with a design clock of only 66 MHz.

An automotive application of the image processor is presented, that measures the 3-d wheel position of a driving car.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Wiora, G., Babrou, P., Männer, R. (2004). Real Time High Speed Measurement of Photogrammetric Targets. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_69

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  • DOI: https://doi.org/10.1007/978-3-540-28649-3_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22945-2

  • Online ISBN: 978-3-540-28649-3

  • eBook Packages: Springer Book Archive

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