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Grinnell Jones

dblp:64/1568 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Image recognition and object detection · 67% 3D vision · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › 3d object recognition
articulated object recognition		 0.011999
Recognition of Articulated and Occluded Objects · IEEE Trans. Pattern Anal. Mach. Intell. 1999
Computer vision › Image recognition and object detection
object recognition		 0.011999
Recognition of Articulated and Occluded Objects · IEEE Trans. Pattern Anal. Mach. Intell. 1999
Computer vision › Image recognition and object detection › object recognition › robust object recognition
occluded object recognition		 0.011999
Recognition of Articulated and Occluded Objects · IEEE Trans. Pattern Anal. Mach. Intell. 1999

Methods — techniques the papers use, named apart from their topics

model-based recognition · 0.0invariant features · 0.0
YearPublicationVenuePosition
2001 Recognizing articulated objects in SAR images
Grinnell Jones, Bir Bhanu
 Pattern Recognit.1
2000 Adaptive target recognition
Bir Bhanu, Yingqiang Lin, Grinnell Jones
 Mach. Vis. Appl.3
1999 Recognition of Articulated and Occluded Objects
abstract
A model-based automatic target recognition system is developed to recognize articulated and occluded objects in synthetic aperture radar (SAR) images, based on invariant features of the objects. Characteristics of SAR target image scattering centers, azimuth variation, and articulation invariants are presented. The basic elements of the new recognition system are described and performance results are given for articulated, occluded and occluded articulated objects, and they are related to the target articulation invariance and percent unoccluded.
Grinnell Jones, Bir Bhanu
 IEEE Trans. Pattern Anal. Mach. Intell.1