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Model-based object recognition by geometric hashing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Elementary mathematics from an advanced standpoint
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Generalizing the Hough transform to detect arbitrary shapes
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Object recognition and localization via pose clustering
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Efficient detection of three-dimensional structural motifs in biological macromolecules by computer vision techniques.
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Pose determination of a three-dimensional object using triangle pairs
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The Combinatorics Of Object Recognition In Cluttered Environments Using Constrained Search
inferredcites →https://doi.org/10.1109/ccv.1988.589995openalex-snapshot
Geometric Hashing: A General And Efficient Model-based Recognition Scheme
inferredcites →https://doi.org/10.1109/ccv.1988.589997openalex-snapshot
Aligning A Model To An Image Using Minimal Information
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Object recognition by affine invariant matching
inferredcites →https://doi.org/10.1109/cvpr.1991.139655openalex-snapshot
On the error analysis of 'geometric hashing'
inferredcites →https://doi.org/10.1109/icpr.1988.28175openalex-snapshot
An improved model-based matching method using footprints
inferredcites →https://doi.org/10.1109/icpr.1990.119438openalex-snapshot
Object recognition using geometric hashing on the Connection Machine
inferredcites →https://doi.org/10.1109/robot.1987.1088004openalex-snapshot
Three-dimensional model matching from an unconstrained viewpoint
inferredcites →https://doi.org/10.1109/robot.1988.12264openalex-snapshot
On recognition of 3-D objects from 2-D images
inferredcites →https://doi.org/10.1109/tpami.1986.4767751openalex-snapshot
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
inferredcites →https://doi.org/10.1109/tpami.1987.4767935openalex-snapshot
Localizing Overlapping Parts by Searching the Interpretation Tree
inferredcites →https://doi.org/10.1145/4078.4081openalex-snapshot
Three-dimensional object recognition
inferredcites →https://doi.org/10.1145/6462.6464openalex-snapshot
Model-based recognition in robot vision
inferredcites →https://doi.org/10.21236/ada196224openalex-snapshot
The Combinatorics of Object Recognition in Cluttered Environments Using Constrained Search
inferredcites →https://doi.org/10.2307/3028700openalex-snapshot
Elementary Mathematics from an Advanced Standpoint, Geometry
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Acquisition of 2D Shape Models from Scenes with Overlapping Objects using String Matching
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Score level fusion of voting strategy of geometric hashing and SURF for an efficient palmprint-based identification
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3-D object recognition using projective invariant relationship by single-view
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Unsupervised learning of models for object recognition
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