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Kosmos
Astronomia Astrofizyka
Inne

Kultura
Sztuka dawna i współczesna, muzea i kolekcje

Metoda
Metodologia nauk, Matematyka, Filozofia, Miary i wagi, Pomiary

Materia
Substancje, reakcje, energia
Fizyka, chemia i inżynieria materiałowa

Człowiek
Antropologia kulturowa Socjologia Psychologia Zdrowie i medycyna

Wizje
Przewidywania Kosmologia Religie Ideologia Polityka

Ziemia
Geologia, geofizyka, geochemia, środowisko przyrodnicze

Życie
Biologia, biologia molekularna i genetyka

Cyberprzestrzeń
Technologia cyberprzestrzeni, cyberkultura, media i komunikacja

Działalność
Wiadomości | Gospodarka, biznes, zarządzanie, ekonomia

Technologie
Budownictwo, energetyka, transport, wytwarzanie, technologie informacyjne

Visual Fixation for 3D Video Stabilization

JVRB - Journal of Virtual Reality and Broadcasting, 8(2011), no. 2.: Visual fixation is employed by humans and some animals
to keep a specific 3D location at the center of
the visual gaze. Inspired by this phenomenon in nature,
this paper explores the idea to transfer this mechanism
to the context of video stabilization for a handheld
video camera. A novel approach is presented
that stabilizes a video by fixating on automatically
extracted 3D target points. This approach is different
from existing automatic solutions that stabilize
the video by smoothing. To determine the 3D target
points, the recorded scene is analyzed with a stateof-
the-art structure-from-motion algorithm, which estimates
camera motion and reconstructs a 3D point
cloud of the static scene objects. Special algorithms
are presented that search either virtual or real 3D target
points, which back-project close to the center of the
image for as long a period of time as possible. The stabilization algorithm then transforms the original images
of the sequence so that these 3D target points are
kept exactly in the center of the image, which, in case
of real 3D target points, produces a perfectly stable result
at the image center. Furthermore, different methods
of additional user interaction are investigated. It is
shown that the stabilization process can easily be controlled
and that it can be combined with state-of-theart
tracking techniques in order to obtain a powerful
image stabilization tool. The approach is evaluated on
a variety of videos taken with a hand-held camera in
natural scenes.