| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
M. Takatsuka and R. A. Jarvis
ABSTRACT
This paper describes a system which encodes a free-form three-dimensional (3D) object using Artificial Neural Networks. The types of surface shapes which the system is able to handle include not only pre-defined surfaces such as simple piecewise quadric surfaces but also more complex free-form surfaces. The system utilizes two Self-Organizing Maps to encode surface parts and their geometrical relationships. Authors demonstrated the use of this encoding technique on 'simple' 3D free-form object recognition systems [M. Takatsuka, R.A. Jarvis, Hierarchical neural networks for learning 3D objects from range images, Journal of Electronic Imaging 7 (1) (1998) 16–28]. This paper discusses the design and mechanism of the Multiple SOFMs for encoding 3D information in greater detail including an application to face ('complex' 3D free-form object) recognition. |
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