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Chennubhotla S. Chakravarthy

dblp:182/4719 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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 · 50% 3D vision · 50%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
object recognition
0.011991
Pose clustering on constraints for object recognition · CVPR 1991
Computer vision › 3D vision › pose estimation
pose clustering
0.011991
Pose clustering on constraints for object recognition · CVPR 1991
Image and video processing › image matching
feature matching
0.011991
Pose clustering on constraints for object recognition · CVPR 1991
Image and video processing › feature detection
hough transform
0.011991
Pose clustering on constraints for object recognition · CVPR 1991

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

spatial relations · 0.0one-dimensional hough transforms · 0.0
YearPublicationVenuePosition
1991 Pose clustering on constraints for object recognition
abstract
The authors investigate a way of improving Hough transform performance using the spatial relations that exist between model features. Clusters of scene features possibly belonging to a model are grouped by a series of one-dimensional Hough transforms. The results presented illustrate the effectiveness of the methods.>
Chennubhotla S. Chakravarthy, Rangachar Kasturi
CVPR1