Recognition and localization of occluded apples using K-means clustering algorithm and convex hull theory: a comparison.
Dandan WangHuaibo SongZhihui TieWeiyuan ZhangDongjian HePublished in: Multim. Tools Appl. (2016)
Keyphrases
- convex hull
- point sets
- object recognition
- feasible solution
- mixed integer
- computational geometry
- convex polyhedra
- k means
- data points
- training samples
- convex sets
- occluded objects
- linear inequalities
- minimum distance
- clustering algorithm
- integer points
- finite set of points
- extreme points
- upper bound
- np hard
- feature extraction