
...a novel neural network model is shown to realize various geometric illusion phenomena in human vision, which also makes it possible to quantitatively analyze the geometrical deformation of visual space. in sequel, we can predict the geometric; illusions based on the proposed model...

...model is proposed for the geometrical illusion phenomenon in human vision. this model assumes that the illusion is a result of nonuniform bending in visual space whose riemannian metric tensor is...be finetuned) the ebbinhaus illusion, the zollner illusion 1, the hering illusion 2, the wundt illusion, the mullerlyer illusion, the helmholtz vertical illusion, and the concentric circle illusion, and...

...models suggested that the development of visuomotor behavior requires a certain
amount of simultaneous exposure to patterned proprioceptive and visual stimulation under conditions of selfproduced movement—referred
to...learns multiple internal inverse models of the kinematic features of an anthropomorphic
arm and fingers having seven and four degree of freedom, respectively. once the 3d...

...inhibition between different colors in visual pathway. this neural network model explains the interaction between colors as “complementarycolor inhibition” in the opponent color space, or a color is subjected to attraction to or repulsion from the complementaries of other colors. thus we are able to realize successfully the simultaneous contrast and assimilation illusions using the neural network. this model can be generalized...

...for a better understand ing of the selforganization and geometric structure of cortical signal representations. the algorithm...map (som) from the processing of purely spatial signals to the processing of spatiotemporal signals. the main additional idea of the tom compared with the som is the functionally...

...to present a detailed analysis of the algebraic and geometric properties of relative uncertainty theory (rut) applied to neural networks learning. through the algebraic analysis of the original learning criterion, it...learning equations. through an algebraicgeometric analysis, the behavior of such matrixtype learning equations is illustrated, with particular emphasis to the existence of certain invariant manifolds. keywords: relative...

...without
an explicit internal representation of the environment and the own body. nevertheless, application of internal representations
has gained interest...being based on the principle of mean of multiple computation (mmc). the extension of this approach to three
dimensions requires the introduction of a joint angle representation which...

...the paper
follows the idea of the pipeline process for flow visualization focusing on experimental data generation and advanced visualization
techniques. the paper tries to help the experimentalist navigating the landscape of recently developed volumetric measurement
techniques and advanced visualization techniques. the processing steps and related difficulties are illustrated with the transitional
backward facing step...

...to represent these smooth variations, and to support those information processing tasks that utilize hue, a piecewise smooth hue field is postulated. the geometry of huepatch interactions is developed...the color domain, the power of which is demonstrated on a number of examples. implications for computer image processing, computer vision, visual neurophysiology and psychophysics are discussed. q 2004...

...simply by direct physical manipulation of the object and a ¨ paint brushstylus. we track the objects and the ¨ paintbrush¨ , and illuminate the objects with images that remain registered as...in diverse fields such as visualization, teleimmersion, art and architecture. the system currently works with tracked objects whose geometry was preacquired and models created manually, but it...