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GPU Calculated Camera Collisions Detection within a Dynamic Environment

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6375))

Abstract

Existing collision detection methods usually need long pre-calculation stage or difficult, time-consuming real-time computation. Moreover, their effectiveness considerably decreases with the growth of the complexity of the scene. Especially dynamic scenes with moving objects require the necessity of each frame collisions recalculation due to changeable objects’ position and orientation. So far seemingly promising solutions supported by potential fields do not introduce satisfactory functionality as they are mainly devoted to static scenes with one predefined goal. This paper introduces a method which offers a new dynamic GPU supported potential field construction which lets the camera collide with both dynamic and static objects. Additionally, the proposed method does not need pre-calculation stage and provides an almost scene-complexity independent solution. The presented method is based on an arbfp1 shader solution, which means that most contemporary graphics cards can operate it without constraints

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© 2010 Springer-Verlag Berlin Heidelberg

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Wojciechowski, A., Wróblewski, G. (2010). GPU Calculated Camera Collisions Detection within a Dynamic Environment. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_44

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  • DOI: https://doi.org/10.1007/978-3-642-15907-7_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15906-0

  • Online ISBN: 978-3-642-15907-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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