Intelligent vehicle systems need to distinguish which objects are moving and which are static. A static concrete wall lying in the path of a vehicle should be treated differently than a truck moving in front of the vehicle. This paper proposes a new algorithm that addresses this problem, by providing dense dynamic depth information, while coping with real-time constraints. The algorithm models ...

Researchers such as (Rogers & Graham, 1982) have noticed "similarities between motion parallax and stereopsis" but have not previously shown the precise mathematical relation between them. In this article we show that retinal motion from lateral translation is asymptotic to a ...

It is now well established that depth is coded by local horizontal disparity and global vertical disparity. We present a computational model which explains how depth is extracted from these two types of disparities. The model uses the two (one for each eye) headcentric directions of binocular targets, derived from retinal signals and oculomotor signals. Headcentric disparity is defined as the d...

Disparity tuning measured in the primary visual cortex (V1) is described well by the disparity energy model, but not all aspects of disparity tuning are fully explained by the model. Such deviations from the disparity energy model provide us with insight into how network interactions may play a role in disparity processing and help to solve the stereo correspondence problem. Here, we propose a ...

Almost all existing 3D visual discomfort prediction models are based, at least in part, on features that are extracted from computed disparity maps. These include such estimated quantities such as the maximum disparity, disparity range, disparity energy and other measures of the disparity distribution. A common first step when implementing a 3D visual discomfort model is some form of disparity ...

Neurons selective for binocular disparity are found in a number of visual cortical areas in primates, but there is little evidence that any of these areas are specialized for disparity processing. We have examined the organization of disparity-selective neurons in the middle temporal visual area (MT), an area shown previously to contain an abundance of disparity-sensitive neurons. We recorded e...

How can we understand the solar cycle signal on the Earth’s surface? Kunihiko Kodera1, Rémi Thiéblemont2, Seiji Yukimoto3, Katja Matthes2,4 1Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, 464-8601 Japan 2Research Division Ocean Circulation and Climate, GEOMAR Helmholtz Centre for Ocean Research, Kiel, 24105 Germany 5 3Meteorological Research Institute, Tsukuba, 305...