Comparing curved-surface range image segmenters
- 27 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 286-291
- https://doi.org/10.1109/iccv.1998.710732
Abstract
This work focuses on creating a framework for objectively evaluating the performance of range image segmentation algorithms. The algorithms are evaluated in terms of correct segmentation, over- and under-segmentation, missed and noise regions. A set of images with ground truth was created for this work. The images were captured using a structured light scanner. Images used in the evaluation contain planar, spherical, cylindrical, toroidal and conical surface patches. The different surface patches in each image were manually identified to establish ground truth for performance evaluation. Two segmentation algorithms from the literature are compared.Keywords
This publication has 5 references indexed in Scilit:
- An experimental comparison of range image segmentation algorithmsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Ignorance, myopia, and naiveté in computer vision systemsCVGIP: Image Understanding, 1991
- Active, optical range imaging sensorsMachine Vision and Applications, 1988
- Segmentation through variable-order surface fittingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1988
- Solid Modeling: A Historical Summary and Contemporary AssessmentIEEE Computer Graphics and Applications, 1982