review Open AccessTop 1% cited
Three-dimensional object recognition
ACM Computing Surveys · 1985 · Vol. 17(1) · pp. 75–145
Paul J. Besl✉(University of Michigan–Ann Arbor)Ramesh Jain(University of Michigan–Ann Arbor)
Abstract
A general-purpose computer vision system must be capable of recognizing three-dimensional (3-D) objects. This paper proposes a precise definition of the 3-D object recognition problem, discusses basic concepts associated with this problem, and reviews the relevant literature. Because range images (or depth maps) are often used as sensor input instead of intensity images, techniques for obtaining, processing, and characterizing range data are also surveyed.
Robotics and Sensor-Based LocalizationAdvanced Vision and ImagingImage and Object Detection TechniquesComputer scienceArtificial intelligenceCognitive neuroscience of visual object recognitionComputer visionRange (aeronautics)Object (grammar)3D single-object recognitionImage processingImage (mathematics)
Funding
- International Business Machines Corporation
- Erasmus Research Institute of Management
Citations
975
FWCI
1040.66
field-weighted impact
References
159
Percentile
100%
vs. same field & year
Citations per year
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References
A Characterization of Ten Hidden-Surface Algorithms
ACM Computing Surveys · 1974 · 863 citations
Aircraft Identification by Moment Invariants
IEEE Transactions on Computers · 1977 · 757 citations
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys · 1980 · 1,426 citations
The Interpretation of Visual Motion
The American Journal of Psychology · 1980 · 1,772 citations
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