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M. Seetha Ramaiah

dblp:166/5815 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 87% Virtual and augmented reality · 13%

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

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
character animation
0.212013
Head motion animation using avatar gaze space · VR 2013
Computer animation and physical simulation
head motion generation
0.212013
Head motion animation using avatar gaze space · VR 2013
Virtual and augmented reality › avatar
avatar animation
0.012013
Head motion animation using avatar gaze space · VR 2013

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

nonlinear dimensionality reduction · 0.2gaze space · 0.2
YearPublicationVenuePosition
2013 Head motion animation using avatar gaze space
abstract
Animation plays a key role in adding realism to any graphical environment. In this work we present a technique for animating multiple avatars in a virtual environment designed to support remote collaboration between distributed work teams in which users are represented by avatars. There will be long periods of time when the user is not actively controlling the avatar and working on his official task. We need to animate his avatar with a `working-at-desk' animation that should be non-looping and sufficiently random for a single avatar as well as between multiple avatars to appear realistic. We present a technique for generating multiple head motions using (a) nonlinear dimensionality reduction and (b) gaze space images to control the motion. Our technique can automatically generate long sequences of motion without any user intervention. We present results from synthetic data.
M. Seetha Ramaiah, Ankit Vijay, Geetika Sharma, Amitabha Mukerjee
VR1