Research





The
computer graphics field of NPR aims at
expanding the expressive power of computer
graphics with alternate visual
abstractions founded on knowledge and
techniques long used by artists and
scientific illustrators. NPR places
emphasis on specific features of a model,
exposing subtle attributes, and omitting
extraneous information.
Over the
years, the algorithms and methods from our
NPR research have been applied in
commercial and inhouse computer graphics
systems to compute shape analysis of
scientific subjects, to extract shape
features in 3D models, and to approximate
the appearance of natural media (e.g.,
graphite pencil and penandink). These
systems have been applied in various
disciplines and domains of art, industrial
design, 3D content creation (in the film,
games, and animation industries),
medicine, botanical sciences, geomatics
& cartography, zoology, and
archeology.

Publications
top


The
computer graphics field of SBIM is
concerned with algorithms and mathematical
models inspired by the traditional use of
sketches (1) to establish the geometry and
topology of the subject being depicted;
and (2) to conceptualize ideas and to
interpret data.
In SBIM, our
group has focused on three main research
directions. (1) Building the overall
geometry and topology of 3D models. (2)
Augmenting existing 3D models with
geometric details. (3) Using sketches as
operators, indicators, and for
annotation.

Publications
G&PE =
Geoscience & Petroleum Engineering venues
top


This
research theme focuses on algorithms and
mathematical models to present, transform
and convert complex scientific
multi{modal, scale, variate} data into an
efficient and effective visual
representation that humans can rapidly and
easily understand, analyze, and
comprehend.
In
Visualization, our group has
focused on the area of illustrative
visualization, based on principles from
traditional scientific illustration to
emphasize specific features, to expose
subtle attributes, to omit extraneous
information, among other visual
communication goals. In Visual
Analytics, our group has focused on
interactive visual representations and
analytical reasoning models to extract,
cluster, and compute similarities and
correlations between samples from
highdimensional data and large parameter
spaces.

Publications
G&PE =
Geoscience & Petroleum Engineering venue
top


This
research theme focuses mainly on
fundamental research of algorithms and
mathematical models of computer graphics,
visualization, and visual analytics,
describing static and dynamic aspects in
the data. Projects in M&S are either
standalone or derived from projects from
the other four research themes.
M&S
projects from our group are organized into
four categories: (Cat 1) Mapping
techniques. (Cat 2) Volume modeling. (Cat
3) Geometric and topological modeling.
(Cat 4) Computational models for
geoscience and petroleum engineering,

Publications
G&PE =
Geoscience & Petroleum Engineering venue
top


This
research theme focuses on (1) coupling
visualization with effective interaction
techniques and technologies; and (2)
determining the appropriate visual
interaction and representation of the
information for the user, their experience
as well as their role and task in the
scientific exploration and analysis.
Projects from
our group include four categories of HDCI
techniques and technologies. (Cat 1)
Tabletop and mobile interactions to
facilitate collaborative data manipulation
and analysis. (Cat 2) Immersive
interactions, including the use of virtual
reality environments, immersive glasses,
mixed and augmented reality. (Cat 3)
Tangible interfaces exploring the inherent
spatiality of the 3D data.

Publications
G&PE =
Geoscience & Petroleum Engineering venue
Theses
(12)

Journal
Articles

Conference
Papers (34)


Costa
Sousa et al.
'15
(G&PE) 
also RT(2, 3) (counted in
RT3)

Burns
et al. ['12a,'13]
Cabral R Mota et al. '16
(a,
b)
Harris
et al.
'11
Sharlin
& Costa Sousa
'05
Lapides et al.
['06,
'08,
'10
,
'11]
Li et al. ['14b,
'15 (a,
b),
'17 (a,
b)]
Mostafa et al.
['15,
'16,
'17 (a,
b)]
Nittala
et al.
'15
Seyed et al. ['12,
'13
(a,
b,
c)]
Somanath et al.
['13
(a,
b),
'15
(a,
b),
'16,
'17]
Sultanum et al.
['10,
'11]
Xin et al. ['07,
'08]

top

