1
0
0
(1 - 19 von 22
)
Computer Vision -- ECCV 2010: 11th European Conference on Computer...
books.google.de
BRIEF: Binary Robust Independent Elementary Features Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua EPFL, Lausanne, Switzerland ...
Digital Representations of the Real World: How to Capture, Model, and...
books.google.de
10] Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. “Brief: Binary Robust Independent Elementary Features.” In Computer Vision–ECCV ...
Intelligent Autonomous Systems 13: Proceedings of the 13th...
books.google.de
Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. Brief: Binary robust independent elementary features. Computer Vision-ECCV 2010, pages 778–792, D. Gálvez-López and J.D. Tardós. Bags of binary words for fast place recognition in image sequences. Robotics, IEEE Transactions on, ...
BRIEF: Binary Robust Independent Elementary Features Michael...
pdfslide.us
Slide 1BRIEF: Binary Robust Independent Elementary Features Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua CVLab, EPFL, Lausanne,...
BRIEF: Binary Robust Independent Elementary Features | SpringerLink
link.springer.com
We propose to use binary strings as an efficient feature point descriptor, which we call BRIEF.We show that it is highly discriminative even when using...
Wikipedia: Census-Transformation – Wikipedia
Die Census-Transformation (CT) (engl. Census Transform) wurde von Zabih und Woodfill Michael Calonder, Vincent Lepetit, Christoph Strecha, Pascal Fua: BRIEF: Binary Robust Independent Elementary Features . In: Computer Vision ...
EP A1 - 3d object localization with descriptor
patents.google.com
7, *, MICHAEL CALONDER ET AL: "BRIEF: Binary Robust Independent Elementary Features", COMPUTER VISION - ECCV 2010, SPRINGER BERLIN HEIDELBERG, BERLIN, HEIDELBERG, vol , 5 September ( ), pages , XP , ISBN:
BRIEF: Binary Robust Independent Elementary Features - PDF
docplayer.net
1 BRIEF: Binary Robust Independent Elementary Features Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua CVLab, EPFL, Lausanne, Switzerland Abstract. We propose to use binary strings as an efficient feature point descriptor, which we call BRIEF. We show that it is highly discriminative even when using relatively few bits and can be computed using simple …
BRIEF: Binary Robust Independent Elementary Features Michael...
pdfslide.us
Looking for Documents about BRIEF: Binary Robust Independent Elementary Features Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua...
CiteSeerX — BRIEF: Binary robust independent elementary features
citeseerx.ist.psu.edu
BibTeX. @MISC{Calonder10brief:binary, author = {Michael Calonder and Vincent Lepetit and Pascal Fua}, title = {BRIEF: Binary robust independent elementary features}, year = {2010} } ...
DescribePointBrief
boofcv.org
[1] Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. "BRIEF : Binary Robust Independent Elementary Features" in European Conference ...
CS491Y/691Y: Computer Vision Topics
www.cse.unr.edu
[Calonder10]Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua, "BRIEF: Binary Robust Independent Elementary Features" ECCV,
Keypoints – Detectors, Descriptors and Matching | Ardya Dipta...
ardyadipta.com
[2] Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. BRIEF : Binary Robust Independent Elementary Features . [3] David G. Lowe.
MATLAB File Help: cv.BriefDescriptorExtractor
kyamagu.github.io
References: [calon2010]:. Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. "Brief: Binary robust independent elementary features". In Computer Vision-ECCV 2010, pages Springer, See also. cv.BriefDescriptorExtractor/BriefDescriptorExtractor, cv.DescriptorExtractor. Class Details ...
Alle Infos zum Namen "Michael Calonder"
Verwandte Suchanfragen zu Michael Calonder
Christoph Strecha Lorenz Bärlocher Matthias Schawalder | Christoph Bärlocher Thomas Maag |
Personen Vorname "Michael" (149265) Name "Calonder" (12) |
sortiert nach Relevanz / Datum