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.
Comparing curved-surface range image segmenters
01.01.1998
971036 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Comparing Curved-Surface Range Image Segmenters
British Library Conference Proceedings | 1998
|Detecting Planar and Curved Symmetries of 3D Shapes from a Range Image
British Library Online Contents | 1996
|Curved surface fitting drum design method and curved surface fitting drum
Europäisches Patentamt | 2021
|Reverse curved surface section manufacturing method, reverse curved surface section and ship
Europäisches Patentamt | 2022
|NTRS | 1983
|