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Ratnakar Sonthi

dblp:09/4026 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 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.

Computer graphics and multimedia
2 papers
Geometric modeling and processing · 70% Virtual and augmented reality · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
feature recognition		 0.011998
MMCs and PPCs as constructs of curvature regions for form feature determination · Comput. Aided Des. 1998
Geometric modeling and processing › shape representation
shape abstraction		 0.011998
Geometric shape abstractions for internet-based virtual prototyping · Comput. Aided Des. 1998
Virtual and augmented reality
virtual prototyping		 0.011998
Geometric shape abstractions for internet-based virtual prototyping · Comput. Aided Des. 1998
YearPublicationVenuePosition
1998 Geometric shape abstractions for internet-based virtual prototyping
Rajit Gadh, Ratnakar Sonthi
 Comput. Aided Des.2
1998 MMCs and PPCs as constructs of curvature regions for form feature determination
abstract
Shape feature information about a part is required to analyze the part for downstream issues such as manufacturability and assemblability. One method of obtaining the feature information is feature recognition from the geometric model. The current approach called Curvature Region (CR) approach for feature determination from solid models categorizes features into two primitive shape classes: protrusions and depressions. In the first step, these primitive shape classes are recognized from the solid model. In the next step, the primitive shape classes are matched with feature definitions to obtain features.
Ratnakar Sonthi, Rajit Gadh
 Comput. Aided Des.1