Review of 3D Objects Segmentation Methods
[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ 2 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2017
chapter in monograph / paper
english
- shape characteristics
- machine learning
- 3D models
- object segmentation
EN This paper presents a review of segmentation methods of basic shapes represented by polygonal meshes. For a fair algorithms comparison, common training data was used. In this work, 11 methods of 3D Mesh segmentation were tested using four different measures of segments similarity. Namely, Cut Discrepancy, Hamming Distance, Rand Index, Consistency Error were used. All measures mentioned above were characterised in the paper. The results of the comparisons provide means of understanding strengths and weaknesses of the tested algorithms and provide the foundation for the further developments of 3D Objects segmentation methods.
595 - 604
20
WoS (15)