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Tytuł artykułu

Potential field based camera collisions detection in a static 3D environment

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
Collision detection methods usually need a long pre-calculation stage or require difficult and time-consuming real-time computation. Moreover, their effectiveness decreases as the complexity of the scene increases. The seemingly promising solutions presented in literature which are based on potential fields do not offer a satisfactory functionality. This paper introduces a method which provides a new potential field construction affecting camera movement, which lets the viewer reach objects without constraints and protects the user from getting into their structure. Additionally, the proposed method comprises an easily executable pre-calculation stage, and represents a solution independent of the scene-complexity.
Słowa kluczowe
Rocznik
Strony
665--672
Opis fizyczny
Bibliogr. 12 poz., il., wykr.
Twórcy
  • Institute of Computer Science, Technical University of Lodz
Bibliografia
  • [1] Khatib O.: Real-time obstacle avoidance for manipulators and mobile robots. International Journal of Mobile Research, vol. 5(1): 90-99 1991, 1986.
  • [2] Latombe J. C.: Robot motion planning. Kluwer Academic Publishers, 1986.
  • [3] Khatib M., Chatila R.: An extended potential field approach for mobile robot sensor-based motions. Intl. Conf. on Intelligent Autonomous Systems IAS'4, 1995.
  • [4] Xiao D., Hubbold R.: Navigation Guided by artificial force fields. Proc. of CHI'98, Los Angeles. USA, 1998.
  • [5] Beckhaus S., Ritter F., Strothotte T.: CubicalPath - Dynamic potential fields for guided exploration in virtual environments. Eighth Pacific Conference on Computer Graphics and Applications, PG'OO. IEEE, 2000.
  • [6] Murphy R. R.: Introduction to AI Robotics. MIT Press, 2000.
  • [7] Li T. Y., Chou H. C.: Improving Navigation Efficiency with Artificial Force Fields. Proc. of 14th IPPR Conference on Computer Vision, Graphics and Image Processing, Taiwan, 2001.
  • [8] Beckhaus S.: Dynamic Potential Fields for Guided Exploration in Virtual Environments. PhD thesis. Otto-von-Gueicke-Universitat Magdeburg, 2002.
  • [9] Watt A., Policarpo F.: 3D Games. Real-time Rendering and Software Technology. Addison-Wesley, 2002.
  • [10] Dulba I.: Metody i algorytmy planowania ruchu robotów mobilnych i manipulacyjnych. Akademicka Oficyna Wydawnicza Exit, 2004.
  • [11] Li T. Y., Hsu S. W.: An intelligent 3D user interface adapting to user control behaviours. Proc. of the 9th International Conference on Intelligent User Interface, 184-190, Madeira, Funchal, Portugalia, 2004.
  • [12] Wojciechowski A.: Navigation dynamic support in an explorative virtual environment (in Polish). PhD Thesis, Technical University of Lodz, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0027-0008
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