Improved spin images for 3D surface matching using signed angles

• Main Authors: ZHANG, Zhiyuan, ONG, Sim Heng, FOONG, Kelvin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Silicon; Noise; Shape; Standards; Clutter; Histograms; Robustness; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7946
• Institution: Singapore Management University

Despite the popularity of spin images in surface matching and registration, disadvantages such as noise sensitivity and low discriminative ability still hindered their usefulness in real applications. In this paper, a novel approach was proposed for improving the spin images. The proposed method mod...