Computer Vision

algorithm analysis angle Artificial Intelligence assumption axis binocular brightness camera components Computer Vision cone connect edge constraints contours convex coordinate corresponding cylinder defined depth derivatives described detection determine diagram direction discontinuities disparity dual space elements equations error estimate example expression figural continuity function G₁ Gaussian curvature geometric given gradient space graph grouping Hessian matrix Horn image plane interpretation intersection iterations lateral inhibition line drawing line-labels linear lines of curvature Mackworth Marr matches measurements method missing fundamental neighboring object optical flow parallel parameters perception perpendicular picture pixels planar Poly position possible prediction primal sketch primitive problem projection reflectance map regions relations representation represented restriction node rotation scene Section shown in Fig smooth solution space curve spatial frequency specified stereogram stereopsis Superpoly surface normal surface orientation symmetry tangent techniques texture three-dimensional values variables vector vergence viewer visual zero crossings