Three-dimensional object recognition using hidden Markov models

摘要

Abstract: We propose an effective segmentation and recognition algorithm for range images. The proposed recognition system based on the hidden Markov model (HMM) and back-propagation (BP) algorithm consists of three parts: segmentation, feature extraction, and object recognition. For object classification using the BP algorithm we use 3D moments, and for surface matching using the HMM we employ 3D features such as surface area, surface type and line lengths. Computer simulation results show that the proposed system can be successfully applied to segmentation and recognition of range images.!11