A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces

作者：

Highlights：

• Convexity is used as a cue for fruit recognition in RGB-D images.

• A novel convex template instance (CTI) descriptor is used for fruit recognition.

• A dataset of four sorts of fruits acquired in an unstructured environment is provided.

• Nearest neighbor approach is used for classification.

• Advantages of the CTI descriptor are low dimensionality and fast computation.

摘要

•Convexity is used as a cue for fruit recognition in RGB-D images.•A novel convex template instance (CTI) descriptor is used for fruit recognition.•A dataset of four sorts of fruits acquired in an unstructured environment is provided.•Nearest neighbor approach is used for classification.•Advantages of the CTI descriptor are low dimensionality and fast computation.

论文关键词：Shape descriptor,k-nearest neighbor,Fruit recognition,Object detection,RGB-D image

论文评审过程：Received 17 January 2018, Revised 20 July 2018, Accepted 20 July 2018, Available online 24 July 2018, Version of Record 6 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.048