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Early foundational work demonstrated that by actively controlling parameters such as camera pose or sensor configuration, agents can transform otherwise ill-posed perception problems into well-posed ones.
“Early founda- tional work (Aloimonos et al., 1988; Ballard, 1991; Whaite & Ferrie, 1997)—often termed”
From ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning (2025) · cites this paper as Aloimonos et al., 1988
Active perception is a critical component of efficient perception and decision-making in humans and advanced embodied agents.
“Among the many components of perception, active percep- tion, the process of selective acquisition of sensory infor- mation to achieve specific goals, has proven essential for efficient information gathering and decision making in com- plex environments (Aloimonos et al., 1988; Ballard, 1991; Whaite & Ferrie, 1997).”
From ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning (2025) · cites this paper as Aloimonos et al., 1988
None of the related concepts fully addresses all three aspects in a single framework: a deformable object, a moving camera, and a robot interacting with the object.
“Our work relates to concepts such as hand-eye coordination [11], visual servoing [12], active perception [13], [14], [15], [16], [17], [18] and interactive perception [1], but none of these fully addresses all the three aspects in a single framework: a deformable object, moving camera, and a robot interacting with the object.”
From Interactive Perception for Deformable Object Manipulation (2024) · cites this paper as [13]
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- Authors
- Aloimonos, J., Weiss, I., & Bandyopadhyay, A.
- Affiliations
- University of Maryland, College Park (US)
- Stony Brook University (US)
- ORCID
- Bandyopadhyay, Amit
- Venue
- International Journal of Computer Vision
- Published
- 1988-01
- Volume
- 1
- Issue
- 4
- Pages
- 333-356
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W4243970992
- Cited by
- 931
- References
- 23
- Citations by year
- 2026: 19 · 2025: 24 · 2024: 25 · 2023: 22 · 2022: 23 · 2021: 32 · 2020: 26 · 2019: 20 · 2018: 24 · 2017: 26 · 2016: 19 · 2015: 13 · 2014: 18 · 2013: 21 · 2012: 22
- FWCI
- 21.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
- Keywords
- active vision, active observer, active sensing, shape from shading, shape from texture, structure from motion, ill-posed problems, low-level vision, eye movements, object tracking, perceptual quality
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