We discuss about contribution of the peripheral mechanism to the human space vision. Perception of incline and slant of wide-angle surfaces is not only controlled by the central stereoscopic mechanism but by peripheral mechanism such as the vertical disparity, the orientation disparity, the perspective and the disparity discontinuity. Perception of self-motion is controlled by the peripheral part in depth as well as by the peripheral part on retina.
We propose a new neural network model for extraction of binocular disparity. The model makes use of corners as features to extract binocular disparity, as well as edges and lines. A neuron in the model interacts with neurons in neighbors through excitatory and inhibitory connections so that false matchings can be eliminated. These connections realize smoothness and uniqueness constraints which are known in computational theory of vision. The model has multi-channels dealing with different spatial frequencies to raise possibility of extracting more correct binocular disparities. Moreover, the model represents binocular disparity with population coding so that it is possible to encode binocular disparity in sub-pixel resolution. We demonstrate in computer simulation that the model has good performance for extracting binocular disparities.
We developed the real-time imaging system to observe neural activities. The system detects small change of light intensity, which is converted signal of neural activities by the voltage sensitive dye, with suitable resolution and signal to noise ratio. The present paper reports the successful development of a imaging system having 128 × 128 MOS image sensor and also introduce some results of observation of brain activities.
We have developed a wide dynamic range imaging & signal processing technology. This technology is able to improve not only a dynamic range of imaging but also a dynamic range of video system since it utilizes human visual characteristics. Sufficient contrast images can be taken in wide dynamic range condition without any saturation and glooming.