Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Joshua Little"'
Publikováno v:
3DV
Understanding the pose of an object is fundamental to a variety of visual tasks, from trajectory estimation of UAVs to object tracking for augmented reality. Fiducial markers are visual targets designed to simplify this process by being easy to detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a8241709c0707c3f37c4e0cccbab62d
https://doi.org/10.1109/3dv.2015.61
https://doi.org/10.1109/3dv.2015.61
Publikováno v:
WACV
Crowd-sourcing tools such as Mechanical Turk are popular for annotation of large scale image data sets. Typically, these annotations consist of bounding boxes or coarse outlines of objects, in order to keep the interface as simple as possible and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea69f586316d9b2b58790acb8c67ecb6
https://doi.org/10.1109/wacv.2012.6163033
https://doi.org/10.1109/wacv.2012.6163033
Publikováno v:
WACV
We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, for over a year. LOST contains rich metadata, including geolocation, da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24798d78e20421b1917d573f3978d0d9
https://doi.org/10.1109/wacv.2012.6163032
https://doi.org/10.1109/wacv.2012.6163032