A Qualitative Control Approach to Reduce Energy Costs of Hybrid Energy Systems: Utilizing Energy Price and Weather Data

Autor: Mehdi Taebnia, Marko Heikkilä, Janne Mäkinen, Jenni Kiukkonen-Kivioja, Jouko Pakanen, Jarek Kurnitski

Publikováno v: Energies, Vol 13, Iss 6, p 1401 (2020)

Nowadays, many buildings are equipped with various energy sources. The challenge is how to efficiently utilize their energy production. This includes decreasing the share and costs of external energy—usually electrical energy delivered from the gri

Externí odkaz: https://doaj.org/article/80c7b753eab14194b8066ddcd15620a3

Description of interest regions with local binary patterns

Autor: Matti Pietikäinen, Cordelia Schmid, Marko Heikkilä

Publikováno v: Pattern Recognition
Pattern Recognition, 2009, 42 (3), pp.425-436. ⟨10.1016/j.patcog.2008.08.014⟩
Pattern Recognition, Elsevier, 2009, 42 (3), pp.425-436. ⟨10.1016/j.patcog.2008.08.014⟩

International audience; This paper presents a novel method for interest region description. We adopted the idea that the appearance of an interest region can be well characterized by the distribution of its local features. The most well-known descrip

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a75d7a6792fdb5bf9b634536f26c2f31
https://doi.org/10.1016/j.patcog.2008.08.014

Description of interest regions with center-symmetric local binary patterns

Autor: Cordelia Schmid, Marko Heikkilä, Matti Pietikäinen

Publikováno v: 5th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '06)
5th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '06), Dec 2006, Madurai, India. pp.58--69, ⟨10.1007/11949619_6⟩
Computer Vision, Graphics and Image Processing ISBN: 9783540683018
ICVGIP

National audience; Local feature detection and description have gained a lot ofinterest in recent years since photometric descriptors computed for interest regions have proven to be very successful in many applications. In this paper, we propose a no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fe0cb73940bfa97e2bb827721f01164
https://hal.inria.fr/inria-00548586

An image mosaicing module for wide-area surveillance

Autor: Marko Heikkilä, Matti Pietikäinen

Publikováno v: Proceedings of the third ACM international workshop on Video surveillance & sensor networks.

This paper presents a fully automatic image mosaicing method for needs of wide-area video surveillance. A pure feature-based approach was adopted for finding the registration between the images. This approach provides us with several advantages. Our

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9c5a2257511de37902b5440819404041
https://doi.org/10.1145/1099396.1099400