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Aditya R. Ashammagari

dblp:134/6000 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1

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
1 paper
Geometric modeling and processing · 100%

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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
collision detection		 0.212013
A convex decomposition methodology for collision detection · VR 2013
Geometric modeling and processing › shape decomposition
convex decomposition		 0.212013
A convex decomposition methodology for collision detection · VR 2013
Geometric modeling and processing
shape decomposition		 0.212013
A convex decomposition methodology for collision detection · VR 2013

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

approximate convex decomposition · 0.2
YearPublicationVenuePosition
2013 A convex decomposition methodology for collision detection
abstract
In this paper, a shape decomposition methodology to decompose the cervical spine using an approximate convex methodology is proposed. The proposed methodology identifies the most concave L-ring neighborhood in a decomposition of a surface (manifold-2) and partitions it in order to reduce its concavity. A close approximation of the original surface by a set of convex surfaces hulls is then produced.
Ashirwad Joseph Chowriappa, Raul Wirz, Aditya R. Ashammagari, Thenkurussi Kesavadas
 VR3