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Joao Queiro

dblp:78/10771 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-1459-1206ORCID · reported

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
camera calibration
0.112011
Point-based calibration using a parametric representation of the general imaging model · ICCV 2011
Computational photography and imaging › camera model
generic imaging model
0.112011
Point-based calibration using a parametric representation of the general imaging model · ICCV 2011

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

radial basis function interpolation · 0.1linear calibration · 0.1
YearPublicationVenuePosition
2011 Point-based calibration using a parametric representation of the general imaging model
abstract
Generic imaging models can be used to represent any camera. These models are specially suited for non-central cameras for which closed-form models do not exist. Current models are discrete and define a mapping between each pixel in the image and a straight line in 3D space. Due to difficulties in the calibration procedure and model complexity these methods have not been used in practice. The focus of our work was to relax these drawbacks. In this paper we modify the general imaging model using radial basis functions to interpolate image coordinates and 3D lines allowing both an increase in resolution (due to their continuous nature) and a more compact representation. Using this new variation of the general imaging model we also develop a new linear calibration procedure. In this process it is only required to match one 3D point to each image pixel. Also it is not required the calibration of every image pixel. As a result the complexity of the procedure is significantly decreased.
Pedro Miraldo, Helder Araújo, Joao Queiro
ICCV3