“Automatic selection of level-of-detail based on just-noticeable-difference (JND)” by Cheng and Boulanger

  • ©Irene Cheng and Pierre Boulanger

  • ©Irene Cheng and Pierre Boulanger




    Automatic selection of level-of-detail based on just-noticeable-difference (JND)



    In this poster we discuss our work on relating the perception of Level-of-detail to the size of features in a displayed 3D object, for applications in online visualization. The distance between grid-points on a display device has been used in the literature to define the smallest inter vertex distance below which vertices need not be inserted to a refined version [Red01]. We will introduce a perceptual metric to predict the perceptual impact on the human visual system (HVS) when refining a mesh, and show how limited network resources, e.g. bandwidth, can be utilized efficiently by stopping mesh refinement before reaching the threshold imposed by the display device resolution.


    1. {CB05} I. Cheng and P. Boulanger, “Feature Extraction on 3D TexMesh Using Scale-space Analysis and Perceptual Evaluation,” to appear IEEE Trans on CSVT May 2005.
    2. {GW02} R. Gonzalez and R. Woods, “Digital Image Processing,” second edition, 2002 Prentice Hall.
    3. {Joh94} www.psychol.ucl.ac.uk/vision/publications/Johnston-1994-Perception-23-169.pdf.
    4. {Red01} M. Reddy, “Perceptually optimized 3D graphics,” IEEE Applied Perception, September/October 2001.
    5. {Usd05} www.usd.edu/psyc301/WebersLaw.htm
    6. {XEV97} J. Xia, J. El-Sana, A. Varshney, “Adaptive real-time level-of-detail-based rendering for polygonal models”, IEEE Trans, on Visualization and Computer Graphics, Vol. 3 No. 2 Jun 1997.
    7. {ZN99} M. Zerroug and R. Nevatia, “Part-based 3D descriptions of complex objects from a single image,” IEEE Trans, on PAMI, Vol 21, no. 9, Sep. 1999.

Additional Images:

©Irene Cheng and Pierre Boulanger

ACM Digital Library Publication:

Overview Page: