Back to Results
First PageMeta Content
Hessian affine region detector / Maximally stable extremal regions / Harris affine region detector / Feature detection / GLOH / Feature / Simultaneous localization and mapping / Kadir–Brady saliency detector / Principal curvature-based region detector / Computer vision / Image processing / Artificial intelligence


Salient Visual Features to Help Close the Loop in 6D SLAM Lars Kunze, Kai Lingemann, Andreas N¨ uchter, and Joachim Hertzberg University of Osnabr¨ uck, Institute of Computer Science
Add to Reading List

Document Date: 2009-08-10 07:49:37

Open Document

File Size: 228,84 KB

Share Result on Facebook

City

SLAM / /

Company

Computer Vision Systems / /

Country

Germany / /

Currency

pence / /

/

Facility

Institute of Computer Science Knowledge Based Systems Research Group Albrechtstr / Bielefeld University / Joachim Hertzberg University / /

IndustryTerm

description algorithm / present algorithms / detection algorithm / scale-saliency algorithm / binsort algorithm / union-find algorithm / /

OperatingSystem

Linux / /

Organization

Joachim Hertzberg University of Osnabr¨ / Bielefeld University / Institute of Computer Science Knowledge Based Systems Research Group Albrechtstr / Exploring Artificial Intelligence / /

Person

Lars Kunze / Luc Van Gool / C. Schmid / T. Kadir / J. Matas / Kadir / Exploring Artificial / F. Schaffalitzky / Tinne Tuytelaars / Brady / A. Zisserman / Kai Lingemann / L. Van Gool / Morgan Kaufmann / /

ProgrammingLanguage

D / /

Technology

scale-saliency algorithm / laser / RAM / present algorithms / SLAM algorithms / JPEG / Linux / GPS / SIFT description algorithm / binsort algorithm / union-find algorithm / detection algorithm / /

URL

http /

SocialTag