VideoOrbits builds upon the tradition of
combined with the Horn and Schunk equationshornandschunk
and some new ideas in
algebraic projective geometry and homometric
imaging, using a spatiotonal model, ,
that works in
the neighbourhood of the identity:
A quantagraphic version of VideoOrbits is also based on the fact that the unknown nonlinearity of the camera, f, can be obtained from differently exposed images f(q) and f(kq), etc., and that these can be combined to estimate the actual quantity of light entering the imaging system: q(x) = _i c_i(A x+bcx+1) 1k_if^-1(F_i(A x+bcx+1)) _i c_i(A x+bcx+1) where ci is the derivative of the recovered nonlinear response function of the camera, f, and A, b, and c are the parameters of the true projective coordinate transformation of the light falling on the image sensor. This method allows the actual quantity of light entering the reality-mediator to be determined. In this way, the reality-mediator absorbs and truly quantifies the rays of light entering it. Moreover, light entering the eye due to the real and virtual objects are therefore placed on an equal footing.
Other researchers, such as Feiner, propose augmented-reality environments with some similar characteristics, although these are tethered to a specific location, in part, because of the non-vision-based tracking. Feiner's work is seminal, and of great value, in the context of location-specific augmented reality. However, an object of Humanistic Intelligence is to be able to architect a personal visual reality that does no rely on specific environmental provisions.