The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Subspace methods for robot vision
Abstract
In contrast to the traditional approach, visual recognition is formulated as one of matching appearance rather than shape. For any given robot vision task, all possible appearance variations define its visual workspace. A set of images is obtained by coarsely sampling the workspace. The image set is compressed to obtain a low-dimensional subspace, called the eigenspace, in which the visual workspace is represented as a continuous appearance manifold. Given an unknown input image, the recognition system first projects the image to eigenspace. The parameters of the vision task are recognized based on the exact location of the projection on the appearance manifold. An efficient algorithm for finding the closest manifold point is described. The proposed appearance representation has several applications in robot vision. As examples, a precise visual positioning system, a real-time visual tracking system, and a real-time temporal inspection system are described.
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Cites
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
Albus, J. S. (1975) · Journal of Dynamic Systems, Measurement, and Control · doi:10.1115/1.3426922 · Cited by 2,177 · cited 1×
“The learning strategies vary from neural-like networks Kuperstien 87] Mel 87] Miller 89] Walter et al. 90] to table lookup mechanisms such as the cerebellar model articulation controller (CMAC) Albus 75] Miller 87].”
Cited by
Martinez, A. M., & Kak, A. C. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.908974 · Cited by 3,249
An improved face recognition technique based on modular PCA approach
Gottumukkal, R., & Asari, V. K. (2004) · Pattern Recognition Letters · doi:10.1016/j.patrec.2003.11.005 · Cited by 477
Object recognition and pose estimation using color cooccurrence histograms and geometric modeling
Ekvall, S., Kragic, D., & Hoffmann, F. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2005.05.006 · Cited by 52
Chaumette, F. (2007) · Modeling, Performance Analysis and Control of Robot Manipulators · doi:10.1002/9780470612286.ch6 · Cited by 5
Metadata
- Authors
- Nayar, S. K., Nene, S. A., & Murase, H.
- Venue
- IEEE Transactions on Robotics and Automation
- Published
- 1996
- Volume
- 12
- Issue
- 5
- Pages
- 750-758
- ISSN
- 1042-296X (ISSN-L)
- OpenAlex
- W2151425871
- Cited by
- 208
- References
- 1
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nayar, S. K., Nene, S. A., & Murase, H. (1996). Subspace methods for robot vision. IEEE Transactions on Robotics and Automation. https://doi.org/10.1109/70.538979
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