Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Nitin M. Vaidya

dblp:95/3851 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
0since 2021 · last 1998
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Artificial intelligence
1 paper
3D vision · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
camera calibration
0.011991
Stereopsis and image registration from extended edge features in the absence of camera pose information · CVPR 1991
Computer vision › 3D vision › stereo vision › stereo matching › feature-based stereo matching
edge-based stereo matching
0.011991
Stereopsis and image registration from extended edge features in the absence of camera pose information · CVPR 1991
Computer vision › 3D vision › stereo vision
stereo matching
0.011991
Stereopsis and image registration from extended edge features in the absence of camera pose information · CVPR 1991
Computer vision › 3D vision › stereo vision
uncalibrated stereo
0.011991
Stereopsis and image registration from extended edge features in the absence of camera pose information · CVPR 1991

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

structural stereopsis · 0.0extended edge contours · 0.0
YearPublicationVenuePosition
1998 Discontinuity-Preserving Surface Reconstruction Using Stochastic Differential Equations
Nitin M. Vaidya, Kim L. Boyer
Comput. Vis. Image Underst.1
1991 Stereopsis and image registration from extended edge features in the absence of camera pose information
abstract
The authors solve the stereo correspondence problem in uncalibrated domains using extended edge contours as a source of primitives, as opposed to traditional point-based algorithms. This work represents a novel approach to implementation of the structural stereopsis concept of K.L. Boyr and A.C. Kak (1988), in particular with regard to speed. Judiciously exploiting the contiguity relation among primitives, correspondence solutions without prior knowledge of the epipolar condition for feature-rich stereopairs, previously requiring several days of processing by the Boyer and Kak algorithm are now acquired in tens of seconds on the same equipment.>
Nitin M. Vaidya, Kim L. Boyer
CVPR1