Paper
30 April 1992 Purposive recognition: an active and qualitative approach
Ehud Rivlin, Yiannis Aloimonos, Azriel Rosenfeld
Author Affiliations +
Abstract
We propose an alternative way to study the problem of visual recognition which is closer to the spirit emerging from Brooks' work on building robots than to Marr's reconstructive approach. Our theory is purposive in the sense that recognition is considered in the context of an agent performing it in an environment, along with the agent's intentions that translate into a set of behaviors; it is qualitative in the sense that only partial recovery is needed; it is active in the sense that various partial recovery tasks need for recognition are achieved through active vision; and it is opportunistic in the sense that every available cue is used.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ehud Rivlin, Yiannis Aloimonos, and Azriel Rosenfeld "Purposive recognition: an active and qualitative approach", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); https://doi.org/10.1117/12.57925
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Visualization

Object recognition

Sensor fusion

Sensors

Robots

Environmental sensing

Systems modeling

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