Three-dimensional object recognition using hidden Markov models

Young Kug Ham; Kil Moo Lee; Rae-Hong Park

doi:10.1117/12.206692

21 April 1995 Three-dimensional object recognition using hidden Markov models

Young Kug Ham, Kil Moo Lee, Rae-Hong Park

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206692
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Young Kug Ham, Kil Moo Lee, and Rae-Hong Park "Three-dimensional object recognition using hidden Markov models", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206692

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