Indranil Chakravarty

dblp:41/816 · DBLP profile ↗
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7ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 first-authorHuman-computer interaction and ubiquitous computing · 4Artificial intelligence and machine learning · 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
4 papers
Rendering · 57% Computational photography and imaging · 41% Multimedia analysis and retrieval · 2%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 7 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools › interactive design tools
interface construction tools
0.011988
EDGE - a Graph Based Tool for Specifying Interaction · ACM Symposium on User Interface Software and Technology 1988
Rendering › temporal rendering
motion blur
0.021983
Modeling motion blur in computer-generated images · SIGGRAPH 1983
Synthetic Image Generation with a Lens and Aperture Camera Model · ACM Trans. Graph. 1982
Computational photography and imaging
camera model
0.021982
Synthetic Image Generation with a Lens and Aperture Camera Model · ACM Trans. Graph. 1982
A lens and aperture camera model for synthetic image generation · SIGGRAPH 1981
Computational photography and imaging
depth of field
0.021982
Synthetic Image Generation with a Lens and Aperture Camera Model · ACM Trans. Graph. 1982
A lens and aperture camera model for synthetic image generation · SIGGRAPH 1981
Rendering
lens and aperture model
0.021982
Synthetic Image Generation with a Lens and Aperture Camera Model · ACM Trans. Graph. 1982
A lens and aperture camera model for synthetic image generation · SIGGRAPH 1981
Rendering › antialiasing
temporal antialiasing
0.011983
Modeling motion blur in computer-generated images · SIGGRAPH 1983
Multimedia analysis and retrieval › image analysis
scene analysis
0.011979
A Generalized Line and Junction Labeling Scheme with Application to scene Analysis · IEEE Trans. Pattern Anal. Mach. Intell. 1979

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

context-free grammar · 0.0AND/OR graph decomposition · 0.0synthetic image generation · 0.0junction labeling scheme · 0.0
YearPublicationVenuePosition
1993 Visualization and Modeling of Geophysical Data
abstract
We present the visualization and modeling techniques used in a case study to build feature-based computational models from geophysical data. Visualization was used to inspect the quality of the interpretation of the geophysical data. We describe the geophysical data graphical representation used to support rapid rendering and to enhance the perception differences between the interpretation of the data and the data itself. In addition, we present the modeling techniques used to convert the geophysical data into a feature-based computational model suitable for use by a numerical simulation package.>
George Celniker, Indranil Chakravarty, Jan Moorman
IEEE Visualization2
1988 EDGE - a Graph Based Tool for Specifying Interaction
abstract
This paper describes a new methodology for specifying and constructing complex interaction dialogs for the design of user interfaces. The method is new in that it promotes a decomposition of the interaction in terms of events in AND/OR graphs called Event-Decomposition Graphs (EDG). These Event-Decomposition Graphs can be progressively refined to capture the detailed semantics of the dialog. Multithreaded interaction can be composed by joining several Event-Decomposition Graphs together in a systematic way. In this paper we present a design tool for specifying and analyzing Event-Decomposition Graphs, and show that the combination of the notation and tool combines many of the capabilities of Context-Free Grammar- and Event-Notations while still providing the graphical view of Transition Network diagrams.
Michael F. Kleyn, Indranil Chakravarty
ACM Symposium on User Interface Software and Technology2
1986 A multi-resolution representation of 3D imagery for efficient image enhancement and processing
abstract
The representation and processing of images at multiple levels of resolution is primarily used as a computational tool in image processing. Multi-resolution techniques have been used successfully for edge enhancement, data compression and transmission, and for planning, that is, images processed at a low resolution are used as a guide for processing and detecting features at a higher resolution. In this paper we generalize the methodology of 2D multi-resolution techniques to 3D, and then show some of the applications of the multiresolution technique for band-pass filtering, feature detection, and image enhancement.
Indranil Chakravarty, Bruce G. Nichol
ICASSP1
1983 Modeling motion blur in computer-generated images
abstract
This paper describes a procedure for modeling motion blur in computer-generated images. Motion blur in photography or cinematography is caused by the motion of objects during the finite exposure time the camera shutter remains open to record the image on film. In computer graphics, the simulation of motion blur is useful both in animated sequences where the blurring tends to remove temporal aliasing effects and in static images where it portrays the illusion of speed or movement among the objects in the scene.
Michael Potmesil, Indranil Chakravarty
SIGGRAPH2
1982 Synthetic Image Generation with a Lens and Aperture Camera Model
abstract
a LensThis paper extends the traditional pinhole camera projection geometry used in computer graphics to a more realistic camera model which approximates the effects of a lens and an aperture function of an actual camera.This model allows the generation of synthetic images which have a depth of field and can be focused on an arbitrary plane; it also permits selective modeling of certain optical characteristics of a lens.The model can be expanded to include motion blur and special-effect filters.These capabilities provide additional tools for highlighting important areas of a scene and for portraying certain physical characteristics of an object in an image.
Michael Potmesil, Indranil Chakravarty
ACM Trans. Graph.2
1981 A lens and aperture camera model for synthetic image generation
abstract
This paper extends the traditional pin-hole camera projection geometry, used in computer graphics, to a more realistic camera model which approximates the effects of a lens and an aperture function of an actual camera. This model allows the generation of synthetic images which have a depth of field, can be focused on an arbitrary plane, and also permits selective modeling of certain optical characteristics of a lens. The model can be expanded to include motion blur and special effect filters. These capabilities provide additional tools for highlighting important areas of a scene and for portraying certain physical characteristics of an object in an image.
Michael Potmesil, Indranil Chakravarty
SIGGRAPH2
1979 A Generalized Line and Junction Labeling Scheme with Application to scene Analysis
abstract
A line and junction labeling scheme is introduced that is valid for both planar and curved-surface bodies. Seven generalized junction types are defined and shown to cover all valid projections for a wide class of planar and curved-surface bodies. It is further shown that there are limitations on the permissible junction types as one moves from one end of a line segment to the other. The valid junction transitions provide 1) a new set of edge semantics for line labeling and 2) an ability to verify whether a given sequence of junctions forms a realizable configuration.
Indranil Chakravarty
IEEE Trans. Pattern Anal. Mach. Intell.1