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Comparing curved-surface range image segmentors (1997).
| Content Provider | CiteSeerX |
|---|---|
| Researcher | Powell, Mark W. Powell, Mark |
| Abstract | Of a thesis submitted in partial fulfillment of the requirements for the degree of Masters of Science Department of Computer Science and Engineering University of South Florida August 1997 Major Professor: Kevin W. Bowyer v This work focuses on creating a framework for objectively evaluating the performance of r ange image segmentation algorithms. The framework is based on the comparison of planar surface range image segmenters performed by Hoover et. al. [1] 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. Ab... |
| File Format | |
| Publisher Date | 1997-01-01 |
| Access Restriction | Open |
| Subject Keyword | Curved-surface Range Image Segmentors Ground Truth Major Professor Science Department Different Surface Patch Engineering University Noise Region South Florida August Partial Fulfillment Conical Surface Patch Structured Light Scanner Ange Image Segmentation Algorithm Planar Surface Range Image Segmenters Correct Segmentation Performance Evaluation Computer Science Evaluation Contain Planar Segmentation Algorithm |
| Content Type | Text |
| Resource Type | Thesis |
