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G. P. Vecchi

dblp:47/1491 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none

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

Artificial intelligence and machine learning · 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
Image and video processing · 100%

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

TopicWeightPapersLastEvidence papers
Image and video processing
image registration
0.011993
Comments on "Design of Fiducials for Accurate Registration Using Machine Vision" · IEEE Trans. Pattern Anal. Mach. Intell. 1993
Image and video processing › image registration
subpixel registration
0.011993
Comments on "Design of Fiducials for Accurate Registration Using Machine Vision" · IEEE Trans. Pattern Anal. Mach. Intell. 1993
Image and video processing
image enhancement
0.011993
Comments on "Design of Fiducials for Accurate Registration Using Machine Vision" · IEEE Trans. Pattern Anal. Mach. Intell. 1993

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

grayscale image analysis · 0.0centroid estimation · 0.0
YearPublicationVenuePosition
1993 Comments on "Design of Fiducials for Accurate Registration Using Machine Vision"
abstract
The commenters point out that the subpixel registration accuracy improves by one order of magnitude if images are not binarized as indicated in the above said paper by Bose and Amir (ibid. vol.12, p.1196-1200 (1990), but gray scale information is fully exploited in calculating the centroid position.>
G. Chiorboli, G. P. Vecchi
IEEE Trans. Pattern Anal. Mach. Intell.2