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Diana R. Bueno

dblp:59/7792 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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.

Artificial intelligence
1 paper
3D vision · 61% Robot navigation and mapping · 30% Probabilistic and Bayesian machine learning · 9%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › camera calibration
self-calibration
0.112009
Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009
Computer vision › 3D vision
structure from motion
0.112009
Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009
Robotics › Robot navigation and mapping › SLAM
visual SLAM
0.112009
Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference
recursive bayesian estimation
0.012009
Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009

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

sequential bayesian estimation · 0.1
YearPublicationVenuePosition
2009 Camera self-calibration for sequential Bayesian structure from motion
abstract
Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera's internal parameters from an image sequence without any known scene structure. Various self-calibration algorithms have been published. Nevertheless, all of the recent sequential approaches to 3D structure and motion estimation from image sequences which have arisen in robotics and aim at real-time operation (often classed as visual SLAM or visual odometry) have relied on pre-calibrated cameras and have not attempted online calibration.
Javier Civera 0001, Diana R. Bueno, Andrew J. Davison, J. M. M. Montiel
ICRA2