Reliable Location and Regression Estimates with Application to Range Image Segmentation

  title={Reliable Location and Regression Estimates with Application to Range Image Segmentation},
  author={M. Baccar and L. A. Gee and Mongi A. Abidi},
  journal={Journal of Mathematical Imaging and Vision},
Range images provide important sources of information in many three-dimensional robot vision problems such as navigation and object recognition. Many physical factors, however, introduce noise to the discrete measurements in range images, identifying the need to reassess the error distribution in samples taken from real range images. This paper suggests the use of the L p norms to yield reliable estimates of location and regression coefficients. This particular approach is compared against two… CONTINUE READING
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