Speed-Dependent Camera Control in 3D Mobile Roadmaps

Partala, Timo; Flink, Teemu; Luimula, Mika; Saukko, Ossi

doi:10.1007/978-3-642-10263-9_13

Cited by 9 publications

(1 citation statement)

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“…Together with these recent developments in location-aware computing and 3D mobile graphics, 3D mobile maps have become an important research area, and the volume of related research has also increased. Much of the existing research on mobile 3D maps has concentrated on technological aspects such as methods for rendering 3D environments or interaction aspects such as controlling the viewpoint in 3D mobile maps [2,3]. In the area of building recognition, automated methods for identifying buildings from images have been studied more than the corresponding human visual cognition.…”

Section: Introductionmentioning

confidence: 99%

Salience of visual cues in 3D city maps

Partala

Nurminen

Vainio

et al. 2010

Electronic Workshops in Computing

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Salience of visual cues in 3D city maps An important activity in urban three-dimensional (3D) mobile navigation is browsing the buildings in the environment and matching them to those in the 3D city map. There are different factors affecting the recognition process such as changes in the appearances of buildings, weather, and illumination conditions. The current aim was to study the salience of different types of visual cues in the recognition of buildings in 3D maps in suboptimal conditions. A pilot laboratory experiment was conducted, in which test participants recognized buildings in a 3D city map using systematically prepared photographs as stimuli, and their cognitive processes were studied using the think aloud protocol. The results suggested that buildings in a 3D city map can be recognized based on a variety of different visual cues ranging from small details such as textual signs to the shape of the building and landmark features such as towers. The results also suggested that buildings are recognized relatively much based on their location and other buildings and objects in their surroundings.

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Section: Introductionmentioning

confidence: 99%