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Primary references on recognition and modeling using spin-images:
- Spin-Images: A Representation
for 3-D Surface Matching. A.
Johnson. doctoral dissertation, tech. report CMU-RI-TR-97-47, Robotics
Institute, Carnegie Mellon University, August, 1997.
- Using spin images for efficient object recognition in cluttered 3D scenes.
A. Johnson and M. Hebert, IEEE Transactions on Pattern Analysis and Machine
Intelligence, vol.21, no.5, May, 1999, p. 433-49.
- Surface matching for object recognition in complex three-dimensional
scenes. A. Johnson and M. Hebert, Image and Vision Computing, vol.16,
no.9-10, July 1998, p. 635-51.
- Efficient multiple model recognition in cluttered 3-D scenes. A.
Johnson and M. Hebert, Proceedings of the 1998 Conference on Computer Vision
and Pattern Recognition (CVPR '98), June, 1998, p. 671-7.
- Recognizing objects by matching oriented points. A. Johnson and
M. Hebert, Proceedings of the 1997 Conference on Computer Vision and Pattern
Recognition (CVPR '97), June, 1997, p. 684-9.
- Surface Registration
by Matching Oriented Points. A.
Johnson and M.
Hebert, International Conference on Recent Advances in 3-D Digital Imaging
and Modeling (3DIM '97), May, 1997, pp. 121-128.
- Registration and
Integration of Textured 3-D Data,
A. Johnson
and S. Kang,
tech. report CRL 96/4, Digital Equipment Corporation, Cambridge Research Lab,
October, 1996.
The Artisan Project:
-
A System for Semi-automatic
Modeling of Complex Environments, A.
Johnson, R. Hoffman, J.
Osborn, and M.
Hebert, International Conference on Recent Advances in 3-D Digital Imaging
and Modeling, May, 1997, pp. 213-220.
- 3-D object modeling
and recognition for telerobotic manipulation, A.
Johnson, P.
Leger, R. Hoffman, M.
Hebert, and J.
Osborn, Proc. IEEE Intelligent Robots and Systems, Vol. 1, August, 1995,
pp. 103-110.
- Sensor Based Interior
Modeling, M.
Hebert, R. Hoffman, A.
Johnson, and J.
Osborn, American Nuclear Society 6th Topical Meeting on Robotics and Remote
Systems (ANS '95), February, 1995, pp. 731 - 737.
Recent advances in recognition and modeling:
- Large Data Sets and Confusing Scenes in
3-D surface Matching and Recognition,
O. Carmichael, D.F.
Huber, and M. Hebert,
Proceedings of the Second International Conference on 3-D Digital Imaging
and Modeling (3DIM'99), October, 1999, pp. 358-367.
- A New Approach to 3-D Terrain Mapping,
D.F. Huber and M.
Hebert,
Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent
Robotics and Systems (IROS '99), IEEE, October, 1999, pp. 1121-1127.
- 3D Cueing: A Data Filter For Object Recognition,
O. Carmichael and M.
Hebert,
IEEE Conference on Robotics and Automation, May, 1999.
- Toward a General 3-D
Matching Engine: Multiple Models, Complex Scenes, and Efficient Data Filtering
A. Johnson,
O. Carmichael,
D.F. Huber, and
M. Hebert,
Proceedings of the 1998 Image Understanding Workshop (IUW '98), November,
1998, pp. 1097-1107.
- Unconstrained Registration of Large 3D
Point Sets for Complex Model Building,
O. Carmichael and M.
Hebert,
Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic
Systems, 1998.
Additional references:
- On Generating Multi-resolution
Representations of Polygonal Meshes, D.
Zhang, M. Hebert,
A. Johnson,
and Y. Liu, Proceedings
of the International Conference on Computer Vision (ICCV '98), 1998.
- Registration and Integration
of Textured 3-D Data, A.
Johnson and S.
Kang, International Conference on Recent Advances in 3-D Digital Imaging
and Modeling (3DIM '97), May, 1997, pp. 234 - 241.
- Recognizing Objects
by Matching Oriented Points, A.
Johnson and M.
Hebert, tech. report CMU-RI-TR-96-04, Robotics Institute, Carnegie Mellon
University, May, 1996.
- Simplifying
Surfaces with Color and Texture using Quadric Error Metrics,
M. Garland and P. Heckbert,
Visualization '98, October, 1998.
- Control of Polygonal
Mesh Resolution for 3-D Computer Vision,
A. Johnson
and M. Hebert,
tech. report CMU-RI-TR-96-20, Robotics Institute, Carnegie Mellon University,
April, 1997.
The VMR
Lab is part of the Vision and
Autonomous Systems Center within the Robotics Institute in the School of Computer Science, Carnegie Mellon University.