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Chase D. Garfinkle

dblp:79/954 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—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
Visual content generation and editing · 67% Geometric modeling and processing · 33%

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

TopicWeightPapersLastEvidence papers
Visual content generation and editing
feature-based warping
0.011995
Feature-based volume metamorphosis · SIGGRAPH 1995
Visual content generation and editing › image editing
image morphing
0.011995
Feature-based volume metamorphosis · SIGGRAPH 1995
Geometric modeling and processing › deformation modeling
volume morphing
0.011995
Feature-based volume metamorphosis · SIGGRAPH 1995

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

ghosting correction · 0.0beier-neely warping extension · 0.0
YearPublicationVenuePosition
1995 Feature-based volume metamorphosis
abstract
Image metamorphosis, or image morphing, is a popular technique for creating a smooth transition between two images. For synthetic images, transforming and rendering the underlying three-dimensional (3D) models has a number of advantages over morphing between two pre-rendered images. In this paper we consider 3D metamorphosis applied to volume-based representations of objects. We discuss the issues which arise in volume morphing and present a method for creating morphs. Our morphing method has two components: first a warping of the two input volumes, then a blending of the resulting warped volumes. The warping component, an extension of Beier and Neely's image warping technique to 3D, is feature-based and allows fine user control, thus ensuring realistic looking intermediate objects. In addition, our warping method is amenable to an efficient approximation which gives a 50 times speedup and is computable to arbitrary accuracy. Also, our technique corrects the ghosting problem present in Beier and Neely's technique. The second component of the morphing process, blending, is also under user control; this guarantees smooth transitions in the renderings.
Apostolos Lerios, Chase D. Garfinkle, Marc Levoy
SIGGRAPH2