The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Active perception
Abstract
Active perception (active vision specifically) is defined as a study of modeling and control strategies for perception. Local methods are distinguished from global models by their extent of application in space and time. The local models represent procedures and parameters such as optical distortions of the lens, focal lens, spatial resolution, bandpass filter, etc, The global models, on the other hand, characterize the overall performance and make predictions on how the individual modules interact. The control strategies are formulated as a search of such sequences of steps that would minimize a loss function while still seeking the most information. Examples are shown as the existence proof of the proposed theory on obtaining range from focus and stereo/vergence on 2-D segmentation of an image and 3-D shape parameterization.>
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Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Aloimonos, J., Weiss, I., & Bandyopadhyay, A. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133571 · Cited by 931
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50 Years of object recognition: Directions forward
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Whaite, P., & Ferrie, F. P. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.584097 · Cited by 240
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Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
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“the idea of exploiting intelligent control strategies (agent motion, object manipulation, camera parameter changes etc.) for goal-directed data acquisition to improve machine vision, was pioneered by [10], [8], [11], [4]. While most research in this area has targeted low-level vision problems such as segmentation, str…”
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Embodied Amodal Recognition: Learning to Move to Perceive Objects
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Handling sensing failures in autonomous mobile robots
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E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes
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Metadata
- Authors
- Bajcsy, R.
- Venue
- Proceedings of the IEEE
- Published
- 1988
- Volume
- 76
- Issue
- 8
- Pages
- 966-1005
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W4231002530
- Cited by
- 830
- References
- 2
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- closed
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