Generation of N-Parametric Appearance-Based Models Through Non-uniform Sampling

  • Luis Carlos Altamirano
  • Leopoldo Altamirano Robles
  • Matías Alvarado
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)


In this work, a generalization of non-uniform sampling technique to construct appearance-based models is proposed. This technique analyses the object appearance defined by several parameters of variability, determining how many and which images are required to model appearance, with a given precision ε. Throughout non-uniform sampling, we obtain a guideline to spend less time on model construction and to diminish storage, when pose estimation no matters. The proposed technique is based on a scheme of N-linear interpolation and SSD (Sum-of-Squared-Difference) distance, and it is used in conjunction with the eigenspaces method for object recognition. Experimental results showing the advantages are exposed.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Luis Carlos Altamirano
    • 1
  • Leopoldo Altamirano Robles
    • 2
  • Matías Alvarado
    • 1
  1. 1.Instituto Mexicano del PetróleoPIMAyCSan Bartolo Atepehuacán
  2. 2.Instituto Nacional de Astrofísica, Óptica y ElectrónicaPueblaMéxico

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