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Janelcy Alferes

dblp:50/5112 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
0000-0002-0772-3135ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 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
Robot navigation and mapping · 56% 3D vision · 44%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d reconstruction
0.112005
Reconstruction of Three Dimensional Models of Environments with a Mobile Robot · ICRA 2005
Robotics › Robot navigation and mapping › environment mapping
environment reconstruction
0.112005
Reconstruction of Three Dimensional Models of Environments with a Mobile Robot · ICRA 2005
Robotics › Robot navigation and mapping › robot mapping
mobile robot mapping
0.012005
Reconstruction of Three Dimensional Models of Environments with a Mobile Robot · ICRA 2005

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

plane fitting · 0.1image stitching · 0.12d triangulation · 0.1
YearPublicationVenuePosition
2005 Reconstruction of Three Dimensional Models of Environments with a Mobile Robot
abstract
In this paper a method is presented for the three-dimensional reconstruction of environment, using a mobile platform equipped with an onboard laser scanner (for the scene geometry acquisition), and a webcam (for the texture registration). The used algorithm is based on calculating the 3D planes in the scene upon the measured 3D points, through the normal calculation, the projection of the points onto the found planes, and the 2D triangulation of the projected points. This way, the plane regions and the corresponding contours in the model are obtained. Concerning the texture, images are assigned to the plane regions, and the complete scene is built through a stitching algorithm. Images and 3D points are projected onto a sphere, in order the information loss on free form objects, and the distortion caused by points improperly assigned to planes, to be reduced.
Janelcy Alferes, Eduardo Zalama Casanova, Jaime Gómez García-Bermejo
ICRA1