JOURNAL BROWSE
Search
Advanced SearchSearch Tips
3D Object Recognition and Accurate Pose Calculation Using a Neural Network
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
3D Object Recognition and Accurate Pose Calculation Using a Neural Network
Park, Gang;
  PDF(new window)
 Abstract
This paper presents a neural network approach, which was named PRONET, to 3D object recognition and pose calculation. 3D objects are represented using a set of centroidal profile patterns that describe the boundary of the 2D views taken from evenly distributed view points. PRONET consists of the training stage and the execution stage. In the training stage, a three-layer feed-forward neural network is trained with the centroidal profile patterns using an error back-propagation method. In the execution stage, by matching a centroidal profile pattern of the given image with the best fitting centroidal profile pattern using the neural network, the identity and approximate orientation of the real object, such as a workpiece in arbitrary pose, are obtained. In the matching procedure, line-to-line correspondence between image features and 3D CAD features are also obtained. An iterative model posing method then calculates the more exact pose of the object based on initial orientation and correspondence.
 Keywords
Centroidal Profile;3D Object Recognition;Object Pose;Correspondence;Neural Network;CAD;
 Language
Korean
 Cited by
1.
스테레오정합과 신경망을 이용한 3차원 잡기계획,이현기;배준영;이상룡;

대한기계학회논문집A, 2003. vol.27. 7, pp.1110-1119 crossref(new window)
 References
1.
대한기계학회논문집, 1995. vol.19. 12, pp.3216-3229

2.
Neural Networks, 1989. vol.2. pp.387-393

3.
Pattern Recognition, 1990. vol.23. 6, pp.563-568

4.
IEEE Transaction on Systems, Man, and Cybernetics, 1991. vol.21. 6, pp.1523-1535

5.
Pattern Recognition, 1992. vol.25. 1, pp.25-44

6.
IEEE SOUTHEASTCON '93, 1993.

7.
Intenational Joint Conference on Neural Networks, 1991. vol.3. pp.2318-2324

8.
Nature, 1990. vol.343. 18, pp.263-266

9.
International Journal of Computer Vision, 1990. vol.5. 2, pp.195-212

10.
Computer Vision, 1982.

11.
Artificial Intelligence, 1987. vol.31. pp.355-395

12.
Image and Vision Computing, 1993. vol.11. 1, pp.49-62

13.
Digital Image Processing, 1992.