Titlebook: Optic Flow and Beyond; Lucia M. Vaina,Scott A. Beardsley,Simon K. Rushton Book 2004 Springer Science+Business Media Dordrecht 2004 Flow.an

A簡(jiǎn)潔的

Modeling Observer and Object Motion Perceptionenvironment. The motion of the images arises from numerous sources. The observer’s own locomotion causes the images of all stationary items to move in a pattern. This pattern of image velocities on the retina is known as optic flow or retinal flow. This pattern can be a fairly simple, radial pattern

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牌帶來(lái)

伴隨而來(lái)

GUMP

Fast Processing of Image Motion Patterns Arising from 3-D Translational Motione situations, we rely on the visual system’s ability to process the perceived motion of the visual scene across the retina, termed optic flow, for our perception and estimates of self-motion. When self-motion is known, it is possible to identify obstacles and moving objects, determine ., and the thr

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死亡率

From Optic Flow to Laws of Controln. In particular, the direction of self-motion, or ., can be judged quite accurately under a variety of conditions. However, as pointed out by Nakayama (1994), it remains controversial as to whether optic flow is actually used to control locomotor behavior. The aim of this chapter is to move beyond

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growth-factor

The Utility of not Changing Direction and the Visual Guidance of Locomotioner around an environment. The motivation for this chapter is the proposal by Rushton et al. (1998) that observers visually guide locomotion using perceived egocentric target direction rather than optic flow. We concentrate on the visual control aspects of self-motion. The other approach is to develo

Surgeon

sion, this chapter presents an analysis of the main theoretical approaches that support research on science education mediated by Information and Communication Technologies (ICT). Different studies were used to reflect on four aspects: (1) approaches to teaching and learning through the use of ICT (